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15 Hot Trending PHD Research Topics in Data Mining 2018
 
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15 Hot Trending Data Mining Research Topics 2018 1. Medical Data Mining 2. Education Data Mining 3. Data Mining with Cloud Computing 4. Efficiency of Data Mining Algorithms 5. Signal Processing 6. Social Media Analytics 7. Data Mining in Medical Science 8. Government Domain 9. Financial Data Analysis 10. Financial Accounting Fraud Detection 11. Customer Analysis 12. Financial Growth Analysis using Data Mining 13. Data Mining and IOT 14. Data Mining for Counter-Terrorism Key Research Application Fields: • Crisp-DM • Oracle Data mining • Web Mining • Open NN • Data Warehousing • Text Mining WHY YOU NEED TO OUTSOURCE TO PhD Assistance: a) Unlimited revisions b) 24/7 Admin Support c) Plagiarism Generate d) Best Possible Turnaround time e) Access to High qualified technical coordinators and expertise f) Support: Skype, Live Chat, Phone, Email Contact us: India: +91 8754446690 UK: +44-1143520021 Email: [email protected] Visit Webpage: https://goo.gl/HwJgqQ Visit Website: http://www.phdassistance.com
Views: 5175 PhD Assistance
Data Structures and Algorithms Complete Tutorial Computer Education for All
 
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Computer Education for all provides complete lectures series on Data Structure and Applications which covers Introduction to Data Structure and its Types including all Steps involves in Data Structures:- Data Structure and algorithm Linear Data Structures and Non-Linear Data Structure on Stack Data Structure on Arrays Data Structure on Queue Data Structure on Linked List Data Structure on Tree Data Structure on Graphs Abstract Data Types Introduction to Algorithms Classifications of Algorithms Algorithm Analysis Algorithm Growth Function Array Operations Two dimensional Arrays Three Dimensional Arrays Multidimensional arrays Matrix operations Operations on linked lists Applications of linked lists Doubly linked lists Introductions to stacks Operations on stack Array based implementation of stack Queue Data Structures Operations on Queues Linked list based implementation of queues Application of Trees Binary Trees Types of Binary Trees Implementation of Binary Trees Binary Tree Traversal Preorder Post order In order Binary Search Tree Introduction to Sorting Analysis of Sorting Algorithms Bubble Sort Selection Sort Insertion Sort Shell Sort Heap Sort Merge Sort Quick Sort Applications of Graphs Matrix representation of Graphs Implementations of Graphs Breadth First Search Topological Sorting Subscribe for More https://www.youtube.com/channel/UCiV37YIYars6msmIQXopIeQ Find us on Facebook: https://web.facebook.com/Computer-Education-for-All-1484033978567298 Java Programming Complete Tutorial for Beginners to Advance | Complete Java Training for all https://youtu.be/gg2PG3TwLx4
Python Tutorial: Working with JSON Data using the json Module
 
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In this Python Programming Tutorial, we will be learning how to work with JSON data. We will learn how to load JSON into Python objects from strings and how to convert Python objects into JSON strings. We will also see how to load JSON from a file and save those Python objects back to files. Let's get started... The code from this video can be found at: https://github.com/CoreyMSchafer/code_snippets/tree/master/Python-JSON Python File Objects: https://youtu.be/Uh2ebFW8OYM ✅ Support My Channel Through Patreon: https://www.patreon.com/coreyms ✅ Become a Channel Member: https://www.youtube.com/channel/UCCezIgC97PvUuR4_gbFUs5g/join ✅ One-Time Contribution Through PayPal: https://goo.gl/649HFY ✅ Cryptocurrency Donations: Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3 Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33 Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot ✅ Corey's Public Amazon Wishlist http://a.co/inIyro1 ✅ Equipment I Use and Books I Recommend: https://www.amazon.com/shop/coreyschafer ▶️ You Can Find Me On: My Website - http://coreyms.com/ My Second Channel - https://www.youtube.com/c/coreymschafer Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Instagram - https://www.instagram.com/coreymschafer/ #Python
Views: 172723 Corey Schafer
Python Tutorial: CSV Module - How to Read, Parse, and Write CSV Files
 
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In this Python Programming Tutorial, we will be learning how to work with csv files using the csv module. We will learn how to read, parse, and write to csv files. CSV stands for "Comma-Separated Values". It is a common format for storing information. Knowing how to read, parse, and write this information to files will open the door to working with a lot of data throughout the world. Let's get started. The code from this video can be found at: https://github.com/CoreyMSchafer/code_snippets/tree/master/Python-CSV ✅ Support My Channel Through Patreon: https://www.patreon.com/coreyms ✅ Become a Channel Member: https://www.youtube.com/channel/UCCezIgC97PvUuR4_gbFUs5g/join ✅ One-Time Contribution Through PayPal: https://goo.gl/649HFY ✅ Cryptocurrency Donations: Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3 Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33 Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot ✅ Corey's Public Amazon Wishlist http://a.co/inIyro1 ✅ Equipment I Use and Books I Recommend: https://www.amazon.com/shop/coreyschafer ▶️ You Can Find Me On: My Website - http://coreyms.com/ My Second Channel - https://www.youtube.com/c/coreymschafer Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Instagram - https://www.instagram.com/coreymschafer/ #Python
Views: 242611 Corey Schafer
What is a HashTable Data Structure - Introduction to Hash Tables , Part 0
 
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This tutorial is an introduction to hash tables. A hash table is a data structure that is used to implement an associative array. This video explains some of the basic concepts regarding hash tables, and also discusses one method (chaining) that can be used to avoid collisions. Wan't to learn C++? I highly recommend this book http://amzn.to/1PftaSt Donate http://bit.ly/17vCDFx STILL NEED MORE HELP? Connect one-on-one with a Programming Tutor. Click the link below: https://trk.justanswer.com/aff_c?offer_id=2&aff_id=8012&url_id=238 :)
Views: 799701 Paul Programming
C++ Tutorial for Beginners 43 - How to Read from a .txt file using C++
 
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Reading whole file into std::string c++ - Read file line by line C++: Read file line by line c++ - How to read line by line or a whole text file at once Reading and writing text files in Open C++ C++ File I/O Tutorial reading from file.txt to array of string Reading Line by Line from Text File into Reading information from a text file c++ read text file line by line c++ open text file for reading reading integers from a text file in c++ reading words from a text file c++ file read cpp c++ read file getline ifstream read whole file c++ read whole file
Views: 172171 ProgrammingKnowledge
Intro to Web Scraping with Python and Beautiful Soup
 
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Web scraping is a very powerful tool to learn for any data professional. With web scraping the entire internet becomes your database. In this tutorial we show you how to parse a web page into a data file (csv) using a Python package called BeautifulSoup. In this example, we web scrape graphics cards from NewEgg.com. Sublime: https://www.sublimetext.com/3 Anaconda: https://www.anaconda.com/distribution/#download-section If you are not seeing the command line, follow this tutorial: https://www.tenforums.com/tutorials/72024-open-command-window-here-add-windows-10-a.html Find more tutorials here: https://tutorials.datasciencedojo.com/ -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 4000+ employees from over 742 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f6wzS0 See what our past attendees are saying here: https://hubs.ly/H0f6wzY0 -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://twitter.com/DataScienceDojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo
Views: 515310 Data Science Dojo
Import Data, Copy Data from Excel to R CSV & TXT Files | R Tutorial 1.5 |MarinStatsLectures
 
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Import Data, Copy Data from Excel (or other spreadsheets) to R: CSV & TXT Files with Free Practice Dataset: (https://bit.ly/2rOfgEJ) Need More Statistics and R Programming Tutorials? (https://bit.ly/2Fhu9XU) How to Import CSV data into R or How to Import TXT files into R from Excel or other spreadsheets using function in R ►How to import CSV data into R? We will be using "read.table" function to import comma separated data into R ► How to import txt data file into R? You will learn to use "read.delim" function to import the tab-delimited text file into R ► You will also learn to use "file.choose" argument for file location, "header" argument to let R know the data has headers or variable names and "sep" argument to let R know how the data values are separated. ►►Download the dataset here: https://statslectures.com/r-scripts-datasets ►►Like to support us? You can Donate https://bit.ly/2CWxnP2 or Share the Videos! ►► Watch More: ► Intro to Statistics Course: https://bit.ly/2SQOxDH ►R Tutorials for Data Science https://bit.ly/1A1Pixc ►Getting Started with R (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R (Series 5): https://bit.ly/1iytAtm ►ANOVA series https://bit.ly/2zBwjgL ►Linear Regression Concept and with R https://bit.ly/2z8fXg1 ►Puppet Master of Statistics: https://bit.ly/2RDAAv4 ►Hypothesis Testing: Concepts in Statistics https://bit.ly/2Ff3J9e ◼︎ Table of Content 0:00:17 What are the two main file types for saving a data file (CSV and TXT) 0:00:36 How to save an Excel file as a CSV file (comma-separated value) 0:01:10 How to open a CSV data file in Excel 0:01:20 How to open a CSV file in a text editor 0:01:36 How to import CSV file into R? using read.csv function 0:01:44 How to access the help menu for different commands/functions in R 0:02:04 How to specify file location for R? using file.choose argument on read.csv function 0:02:31 How to let R know our data has headers or variable names when importing the data into R? By using the “header” argument on read.csv function 0:03:22 How to import CSV file into R? using read.table function 0:03:38 How to specify the file location for the read.table function in R? using file.choose argument 0:03:46 How to specify how variables/columns are separated when importing data into R? the "sep" argument on read.table function will do that; for example if you don't specify that your data is comma separated, R ends up reading it all in as one variable 0:04:10 How to save a file in Excel as tab-delimited text (TXT) file 0:04:50 How to open a tab-delimited (.TXT) data file in a text editor 0:05:07 How to open a tab-delimited (.TXT) data file in excel 0:05:20 How to import tab-delimited (.TXT) data file into R? using read.delim function 0:05:44 How to specify the file path for read.delim function in R? using file.choose argument 0:06:06 How to import tab-delimited (.TXT) data file into R? using read.table function 0:06:23 How to specify that the data has headers or variable names when importing the data into R? using header argument on read.table function This video is a tutorial for programming in R Statistical Software for beginners, using RStudio. Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook:https://goo.gl/qYQavS Twitter:https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn Our Team: Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC. Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH) These videos are created by #marinstatslectures to support some courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free. Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!
Data Mining - Clustering
 
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What is clustering Partitioning a data into subclasses. Grouping similar objects. Partitioning the data based on similarity. Eg:Library. Clustering Types Partitioning Method Hierarchical Method Agglomerative Method Divisive Method Density Based Method Model based Method Constraint based Method These are clustering Methods or types. Clustering Algorithms,Clustering Applications and Examples are also Explained.
Getting Started with the Graph API
 
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An introduction to Facebook's Graph API which is the primary way to programmatically integrate with Facebook - publishing Open Graph stories, reading data about the current user - their details, likes and interests and friends. Read the full Getting Started guide at https://developers.facebook.com/docs/getting-started/graphapi/ We cover: - the difference between Objects (also known as Edges) and Connections - Using the Graph API Explorer we see how to build up deep graph queries which dive several layers deep into the Graph - How we need to request additional permissions to access more data about the user, or to have permission to publish on behalf of the user.
Views: 383408 Facebook Developers
Letters For Toddlers | Alphabets For Kids | ABCD For Children | A For Apple
 
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Letters For Toddlers | Alphabets For Kids | ABCD For Children | A For Apple In this video children will be able to learn how to write alphabets and letters and also kids will learn two things that start with each alphabet with the help of 3D animation and colorful visuals. Lyrics A for Apple | a for apple B for Bus | b for ball C for Cat | c for car D for Dog | d for dog E for Elephant | e for egg F for Fish | f for flag G for Goat | g for gate H for Hen | h for hat I for Igloo | i for ice cream cart J for Jack in the box | j for juice K for Kangaroo | k for kite L for Lion | l for lamp M for Magnet | m for mango N for Nest | n for nine O for Orange | o for oven P for Parrot | p for pigeon Q for Quiver | q for question R for Rocket | r for road roller S for Ship | s for sun T for Tree | t for tricycle U for Unicycle | u for umbrella V for Van | v for vase W for Wheel | w for watch X for Box | x for x-mas tree Y for Yatch | y for yellow Z for Zoo | z for zebra
C Programming Tutorial | Learn C programming | C language
 
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C Programming Language is the most popular computer language and most used programming language till now. It is very simple and elegant language. 1) This is by far the most comprehensive C Programming course you'll find here, or anywhere else. 2) This C Programming tutorial Series starts from the very basics and covers advanced concepts as we progress. This course breaks even the most complex applications down into simplistic steps. 3) It is aimed at complete beginners, and assumes that you have no programming experience whatsoever. 4) This C Programming tutorial Series uses Visual training method, offering users increased retention and accelerated learning. Every programmer should and must have learnt C whether it is a Java or C# expert, Because all these languages are derived from C. In this tutorial you will learn all the basic concept of C programming language. Every section in this tutorial is downloadable for offline learning. Topics will be added additional to the tutorial every week or the other which cover more topics and with advanced topics. This is we will Learn Data Types, Arithmetic, If, Switch, Ternary Operator, Arrays, For Loop, While Loop, Do While Loop, User Input, Strings, Functions, Recursion, File I/O, Exceptions, Pointers, Reference Operator , memory management, pre-processors and more. #Ctutorialforbeginners #Ctutorial #Cprogramming #Cprogrammingtutorial #Cbasicsforbeginners c tutorial for beginners. C programming tutorials for beginners. C Programming Language Tutorials Time: 00:12:35 - Lesson 2 - C programming introduction and first ‘hello world’ program Time: 00:25:45 - Lesson 3 - simple input & output ( printf, scanf, placeholder ) Time: 00:41:07 - Lesson 4: Comments Time: 00:44:32 - Lesson 5 - Variables and basic data types Time: 00:52:41 - Lesson 6 - simple math & operators Time: 1:00:00 - lesson 7 - if statements Time: 1:09:00 - lesson 8 - if else & nested if else Time: 1:20:00 - lesson 9 - the ternary (conditional) operator in C Time: 1:28:56 - Lesson 10 - Switch Statement in C Time: 1:43:35 - Lesson 11 - while loop Time: 1:52:24 - Lesson 12 - do while loop Time: 2:01:14 - Lesson 13 - for loop Time: 2:11:25 - Lesson 14 - functions in C Time: 2:22:54 - Lesson 15: Passing parameters and arguments in C Time: 2:31:40 - Lesson 16: Return values in functions Time: 2:41:33 - Lesson 17: scope rules in C Time: 2:51:08 - Lesson 18: Arrays in C Time: 3:02:28 - Lesson 19: Multidimentional arrays in C Time: 3:12:33 - Lesson 20: Passing Arrays as function arguments in C Time: 3:24:54 - Lesson 21: Pointers in C Time: 3:35:36 - Lesson 22: Array of pointers Time: 3:43:38 - Lesson 23: Passing pointers as function arguments Time: 3:57:44 - Lesson 24: Strings in C Time: 4:12:17 - Lesson 25: (struct) structures in C Time: 4:27:10 - Lesson 26: Unions in C -------------------Online Courses to learn---------------------------- Data Analytics with R Certification Training- http://bit.ly/2rSKHNP DevOps Certification Training - http://bit.ly/2T5P6bQ AWS Architect Certification Training - http://bit.ly/2PRHDeF Python Certification Training for Data Science - http://bit.ly/2BB3PV8 Java, J2EE & SOA Certification Training - http://bit.ly/2EKbwMK AI & Deep Learning with TensorFlow - http://bit.ly/2AeIHUR Big Data Hadoop Certification Training- http://bit.ly/2ReOl31 AWS Architect Certification Training - http://bit.ly/2EJhXjk Selenium Certification Training - http://bit.ly/2BFrfZs Tableau Training & Certification - http://bit.ly/2rODzSK Linux Administration Certification Training-http://bit.ly/2Gy9GQH ----------------------Follow--------------------------------------------- My Website - http://www.codebind.com My Blog - https://goo.gl/Nd2pFn My Facebook Page - https://goo.gl/eLp2cQ Google+ - https://goo.gl/lvC5FX Twitter - https://twitter.com/ProgrammingKnow Pinterest - https://goo.gl/kCInUp Text Case Converter - https://goo.gl/pVpcwL ------------------Facebook Links ---------------------------------------- http://fb.me/ProgrammingKnowledgeLearning/ http://fb.me/AndroidTutorialsForBeginners http://fb.me/Programmingknowledge http://fb.me/CppProgrammingLanguage http://fb.me/JavaTutorialsAndCode http://fb.me/SQLiteTutorial http://fb.me/UbuntuLinuxTutorials http://fb.me/EasyOnlineConverter
Views: 3816423 ProgrammingKnowledge
How to Sort CSV files and lists in Python
 
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This is a tutorial concerning how to sort CSV files and lists easily within python by column. The logic possibly by programming plus the simplicity of being able to sort columns makes python a superb choice for managing CSV documents and lists that are delimited by something. Sentdex.com Facebook.com/sentdex Twitter.com/sentdex
Views: 49338 sentdex
Importing , Checking and Working with Data in R | R Tutorial 1.7 | MarinStatsLectures
 
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Importing Data, Checking the Imported Data and Working with Data in R; Dataset: (https://bit.ly/2rOfgEJ) More Statistics and R Programming Tutorials: (https://goo.gl/4vDQzT) ►►Like to support us? You can Donate https://statslectures.com/support-us or Share the Videos How to import a data set into R, How to make sure data was imported correctly into R and How to begin to work with the imported data in R. ►In this R video tutorial, we will learn to use read.table function (which reads a file in table format and creates a data frame from it, with cases corresponding to lines and variables to fields in the file), and some of the arguments such as header argument and sep argument. ►We will learn to use file.choose function to choose a file interactively ►We will discuss how to use Menu options in RStudio to import data into R ►and we will also learn how to check the imported data to make sure it was imported correctly into R using the dim function to retrieve dimension of an object and specify the number of rows and columns of the imported data, the head function in R (head() function), which returns the first or last parts of a vector, matrix, table, data frame and will let us see the first several rows of the data, the tail function in R (tail() function) to see the last several rows of the data in R, the double square brackets in R to subset data (brackets lets you select or subset data from a vector, matrix, array, list or data frame) , and the names function in R to get the names of an object in R. ►►Practice with Dataset: https://statslectures.com/r-scripts-datasets ►► Watch More: ►Export Data from R (CSV , TXT and other formats): https://bit.ly/2PWS84w ►Getting Started with R (Series 1): https://bit.ly/2PkTneg ►Graphs and Descriptive Statistics in R (Series 2): https://bit.ly/2PkTneg ►Probability distributions in R (Series 3): https://bit.ly/2AT3wpI ►Bivariate analysis in R (Series 4): https://bit.ly/2SXvcRi ►Linear Regression in R (Series 5): https://bit.ly/1iytAtm ►ANOVA Concept and with R https://bit.ly/2zBwjgL ►Linear Regression Concept and with R https://bit.ly/2z8fXg1 ► Intro to Statistics Course: https://bit.ly/2SQOxDH ◼︎ Table of Content 0:00:07 How to read a dataset into R? we will use read.table function to read a dataset into R and save it as an object 0:00:27 How to access the help menu in R 0:01:02 How to let R know that the first row of our data is header? we can use header argument to let R know that the first row of our data is header 0:01:14 How to let R know how the observations are separated? we will use sep argument to let R know how the observations are separated 0:02:03 How to specify the path to a file in R? we can use file.choose function to specify the path to the file in R 0:03:15 How to use Menu options in R Studio to import data into R 0:05:23 How to prepare the Excel data for importing into R 0:06:15 How to know the dimensions (the number of rows and columns) of the data in R? we will use the dim function to know the dimensions of the data in R 0:06:35 How to see the first several rows of the data? the head function in R let us see the first several rows of the data 0:06:45 How to see the last several rows of the data in R? the tail function in R let us see the last several rows of the data 0:07:18 How to check if the data was read correctly into R? we can use the square brackets and subsetting data to verify that our data was read correctly into R 0:08:21 How to check the variable names in R? in this video, we will use the names function to check the variable names in R This video is a tutorial for programming in R Statistical Software for beginners, using RStudio. Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook:https://goo.gl/qYQavS Twitter:https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn Our Team: Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC. Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH) These videos are created by #marinstatslectures to support some courses at The University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free. Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!
How Search Works
 
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https://www.google.com/search/howsearchworks | The life span of a Google query is less then 1/2 second, and involves quite a few steps before you see the most relevant results. Here's how it all works.
Views: 4847832 Google
12. Clustering
 
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MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag Prof. Guttag discusses clustering. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 90125 MIT OpenCourseWare
How to Build a Text Mining, Machine Learning Document Classification System in R!
 
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We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to identify the speaker of unmarked presidential campaign speeches. Applications in brand management, auditing, fraud detection, electronic medical records, and more.
Views: 166182 Timothy DAuria
Surprising Source of New Money Pouring Into Crypto, LedgerX Bitcoin Futures, BSV Delisted on Binance
 
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Big money fund buys million in crypto, LedgerX Bitcoin futures may beat BAKKT to market, and Delist BSV movement worked. sources https://bitcoinmagazine.com/articles/binance-delists-bitcoin-sv/ https://todaysgazette.com/uks-largest-travel-management-company-adopts-bitcoin-btc/ https://www.coinspeaker.com/central-bank-philippines-cryptocurrency-exchanges/ https://qz.com/1250980/an-australian-coal-power-plant-will-reopen-to-help-mine-bitcoins/ https://www.newsbtc.com/2019/04/14/harvard-endowment-invested-up-to-12-65m-in-blockstack-token-sale/ https://cointelegraph.com/news/94-of-surveyed-endowment-funds-are-allocating-to-crypto-investments-study https://www.coindesk.com/ledgerx-reveals-bid-to-beat-bakkt-to-physical-bitcoin-futures-launch?utm_source=twitter&utm_medium=coindesk&utm_term=&utm_content=&utm_campaign=Organic%20 https://uk.reuters.com/article/us-france-cryptocurrencies/france-to-ask-eu-partners-to-adopt-its-cryptocurrency-regulation-idUKKCN1RR1Y0?rpc=401& https://www.ccn.com/bitcoin-mining-key-stat-exposes-ridiculous-energy-consumption-fud Free Cryptocurrency Course - https://www.thecryptolark.org/ RECOMMENDED EXCHANGES & WALLETS GET FREE CRYPTO ABRA - GET $25 IN BTC - (US bank deposits or AMEX)- https://invite.abra.com/p9lwV0WqCR COINBASE - GET $10 Free Bitcoin on sign up! https://bit.ly/2zqeVfV LIQUID - GET $10 FREE QASH (verify & make $100 trade) - https://www.liquid.com?affiliate=Gtrf6wJG586147 TOP EXCHANGES BINANCE - #1 Crypto Exchange https://www.binance.com/?ref=10192350 BINANCE JE - BUY CRYPTO IN POUNDS & EURO https://www.binance.je/?ref=35019746 KUCOIN - Awesome For Low Cap Gems - https://www.kucoin.com/#/?r=18a8f CERTIFIED CRYPTOCURRENCY BROKERAGE CALEB & BROWN - Brokerage - Trade OTC like the big guys https://bit.ly/2Feq8F6 TAKE YOUR SECURITY SERIOUSLY - GET A HARDWARE WALLET LEDGER NANO https://www.ledgerwallet.com/r/6877 TREZOR - https://shop.trezor.io?a=Aw902Rsted LEARN TO TRADE LIKE THE PROS TRADER COBB 10% OFF CODE THELARK10 - https://tradercobb.com/?ref=169 SOCIAL MEDIA - These are my only accounts, beware of scammers! TWITTER twitter.com/TheCryptoLark FACEBOOK facebook.com/TheCryptoLark TELEGRAM GROUP t.me/thecryptolark TELEGRAM HANDLE @cryptolark STEEMIT steemit.com/@larksongbird D-TUBE d.tube/#!/c/larksongbird BACKGROUND ART BY Josie Bellini - https://josie.io/ PODCAST - find me on I-tunes "Crypto Waves" https://player.fm/series/crypto-waves-the-crypto-lark-podcast CONTACT E-mail [email protected] with business or event enquiries. DISCLAIMER Everything expressed here is my opinion and not official investment advice - please do your own research before risking your own money. This video may contain copyrighted material the use of which is not always specifically authorized by the copyright owner. Such material is made available for research or academic purposes. We believe this constitutes a 'fair use' of any such copyrighted material as provided for in section 107 of the US Copyright Law. In accordance with Title 17 U.S.C. Section 107, this video is distributed without profit, for research and educational purposes. Thanks for watching; please like, subscribe, and share if you found this useful! #bitcoin #crypto #ethereum #cryptocurrency #neo #elastos #litecoin #eos #ripple #ontology #monero #stellarlumens #cardano #nem #dash #ethereumclassic #vechain #tezos #zcash #dogecoin
Views: 13332 The Crypto Lark
Median, Quartiles and Interquartile Range : ExamSolutions
 
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Finding the median, quartiles and interquartile range for a set of discrete data can often cause confusion. The position of the median for odd and even sets of discrete observations is discussed in the video. SUBSCRIBE TO MY YOUTUBE CHANNEL https://www.youtube.com/channel/UCtuvpPNTY1lKAoaVzBrzcLg?view_as=public FOLLOW ME Facebook: https://www.facebook.com/examsolutions.net/ Twitter: https://twitter.com/ExamSolutions EXAM SOLUTIONS Is a subscription free website for maths tutorials and maths revision. http://www.examsolutions.net/ for the index, playlists
Views: 226740 ExamSolutions
Simple C# Console Program for Streaming Tweets Matching Your Keywords
 
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Short video showing a simple C# console application that I wrote to connect to the Twitter Streaming API. This application allows you to supply a list of keywords for tracking, and using the existing TweetInvi library we receive tweet data for tweets that contain our keywords. This is meant to be a simple example, documentation for other API functions can be found on the TweetInvi github page (I am not a contributor to the TweetInvi library, this video simply uses function already written by the TweetInvi development team and I take no credit). The source code for the application in the video is available in my GitHub repository, additional video links can be found below! TweetInvi API: https://github.com/linvi/tweetinvi/wiki/Introduction (I am NOT a contributor to the TweetInvi library) Application Only API Credentials Info: https://dev.twitter.com/oauth/application-only Application Only Tokens: https://dev.twitter.com/oauth/overview/application-owner-access-tokens Twitter Apps: https://apps.twitter.com/ Video Source Code on GitHub: https://github.com/BasementProgramming/ChannelPrograms Thanks for all of the support! ~ Daniel
Views: 2522 BasementProgramming
K mean clustering algorithm with solve example
 
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#kmean datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 389297 Last moment tuitions
Mozenda - Data Mining - Web Crawler - LeadGenExample
 
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http://www.twitter.com/jbmcclelland Justin McClelland (http://www.justinmcclelland.com), provides various how-to demonstrations and example applications of the Mozenda software (http://www.getmozenda.com ). The Mozenda, Software as a Service (SaaS), platform is ideal for performing comprehensive web data gathering (a.k.a web data extraction, screen scraping, web crawling, web harvesting, etc.) Follow Me on Twitter: http://www.twitter.com/JBMcClelland
Views: 4229 Justin McClelland
Text Mining: Reading Between the Lines | John Platais | Hackers of CypherCon
 
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(S1: E11) Ever hear the phrase, “Read between the lines?” This usually refers to one’s ability to infer hidden meaning from text. This ability has always been reserved for humans (or those who appear human). That is, until now. This session will look at the tools and efforts needed for “Text Mining” or using Data Mining techniques to infer meaning, biases, misconceptions, and/or hidden agendas from common documents. Viewers will leave with a general understanding of the text mining process along with a list of free/inexpensive tools and services they can use to start text mining right away. CypherCon website: https://cyphercon.com Thank you for watching, subscribing and your support. You can now help this channel with BUY ME A COFFEE: https://www.buymeacoffee.com/VideoWorkbench Connect with Video Workbench Productions below: WEBSITE: http://www.videoworkbench.com AMAZON: https://www.amazon.com/s/ref=nb_sb_noss?url=search-alias%3Dinstant-video&field-keywords=Jason+Gares&rh=n%3A2858778011%2Ck%3AJason+Gareskeywords=video+workbench+productions VIMEO: https://vimeo.com/videoworkbench CURIOUS: https://curious.com/videoworkbench FACEBOOK: https://www.facebook.com/VideoWorkbenchProductions IMDb: https://www.imdb.com/name/nm7907523/?ref_=nv_sr_1 Copyright © 2018 by Jason C. Gares, Video Workbench Productions, Michael Goetzman & Korgo. All Rights Reserved.
Analyzing Big Data with Microsoft R Server | Microsoft on edX | Course About Video
 
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Learn how to use Microsoft R Server to analyze large datasets using R, one of the most powerful programming languages. Take this course free on edX: https://www.edx.org/course/analyzing-big-data-microsoft-r-server-microsoft-dat213x#! ABOUT THIS COURSE The open-source programming language R has for a long time been popular (particularly in academia) for data processing and statistical analysis. Among R's strengths are that it's a succinct programming language and has an extensive repository of third party libraries for performing all kinds of analyses. Together, these two features make it possible for a data scientist to very quickly go from raw data to summaries, charts, and even full-blown reports. However, one deficiency with R is that traditionally it uses a lot of memory, both because it needs to load a copy of the data in its entirety as a data.frame object, and also because processing the data often involves making further copies (sometimes referred to as copy-on-modify). This is one of the reasons R has been more reluctantly received by industry compared to academia. The main component of Microsoft R Server (MRS) is the RevoScaleR package, which is an R library that offers a set of functionalities for processing large datasets without having to load them all at once in the memory. RevoScaleR offers a rich set of distributed statistical and machine learning algorithms, which get added to over time. Finally, RevoScaleR also offers a mechanism by which we can take code that we developed on our laptop and deploy it on a remote server such as SQL Server or Spark (where the infrastructure is very different under the hood), with minimal effort. In this course, we will show you how to use MRS to run an analysis on a large dataset and provide some examples of how to deploy it on a Spark cluster or a SQL Server database. Upon completion, you will know how to use R for big-data problems. Since RevoScaleR is an R package, we assume that the course participants are familiar with R. A solid understanding of R data structures (vectors, matrices, lists, data frames, environments) is required. For example, students should be able to confidently tell the difference between a list and a data frame, or what each object is generally a good representation for and how to subset it. Students should be familiar with basic programming concepts such as control flows, loops, functions and scope. Students should have a good understanding of how to write and debug R functions. Finally, students are expected to have a good understanding of data manipulation and data processing in R (e.g. functions such as merge, transform, subset, cbind, rbind, lapply, apply). Familiarity with 3rd party packages such as dplyr is also helpful. WHAT YOU'LL LEARN You will learn how to use MRS to read, process, and analyze large datasets including: Read data from flat files into R’s data frame object, investigate the structure of the dataset and make corrections, and store prepared datasets for later use Prepare and transform the data Calculate essential summary statistics, do crosstabulation, write your own summary functions, and visualize data with the ggplot2 package Build predictive models, evaluate and compare models, and generate predictions on new data
Views: 4711 edX
Basic Python Tutorial 23 - Reading a text file
 
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Learn how to use multiple methods to read a text file in python. Investary Website -- http://www.investary.org Twitter - http://www.twitter.com/investary Facebook - http://www.facebook.com/investary Questions, comments, feedback? Leave it in the comments section. Also if you can please subscribe and like this video, it will help me tremendously.
Views: 170943 investary
C++ Tutorial - Reading From a CSV File -fstream
 
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This video shows how to read csv file in c++ Github : https://github.com/tpatil2 source_code: https://github.com/tpatil2/C-Programs/blob/master/RWcsv/rwcsv.cpp linkedIn: http://www.linkedin.com/in/tejasp11 web: http://tejaspatil.com
Views: 42338 Tejas Patil
Kygo, Miguel - Remind Me to Forget
 
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https://lnk.to/KYGOrmtfg Enjoy more videos by Kygo https://bit.ly/2HNCZPB https://bit.ly/2FGSqmW https://bit.ly/1LYWkDn Follow Kygo on: http://www.soundcloud.com/kygo  https://www.facebook.com/kygoofficial/  http://www.instagram.com/kygomusic #Kygo #RemindMeToForget #vevo #electronic #vevoofficial
Views: 59175220 KygoOfficialVEVO
What is CCC Computer Course|All About CCC Course in Hindi|How to Apply
 
10:05
Learn What is Doeacc NIELIT CCC Course, its Duration, Syllabus,How to Apply Online,step by step registration Process in Hindi.All about how to do ccc computer course and what is ccc computer course, how to apply online for registration of ccc. Visit Our Website: http://www.cpitudaipur.com Visit Our Blog: http://cpitudaipur.blogspot.in/ Visit Our Facebook Page: http://facebook.com/cpitudr Please Subscribe to Our Channel https://www.youtube.com/channel/UCSMsxXvvi-7XvygtsMWRBOg
CSE2/CSE5ALG– Algorithms and Data Structures – 2017 Assignment Part 1
 
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SOLUTION LINK: http://libraay.com/downloads/cse2cse5alg-algorithms-and-data-structures-2017-assignment-part-1/ Mining information from sales data is a common task in both traditional and online stores. Past sales information can guide purchasing and enable the company to make recommendations to customers about what they may like to buy. The aim of the assignment is to perform two data mining tasks. First, it determines the ranking of products according to how many of each product has been sold. Second, it also determines the five other products most commonly bought with each product. Performing these tasks on large data sets is computationally expensive and the use of data structures and algorithms that facilitate fast searching and sorting is desirable. The assignment is divided into two parts. For part 1, you are required to write a simple version, where execution efficiency is not taken into account. For part 2, you ar e required to write an “optimized” version where efficiency, in addition to correctness, is the major concern. Requirements Write a Java program called SalesInfoMiner that reads in a file of products, stored in text format 2 lines per entry . The program must then read in information about past sales transactions and output all the products to a new file, sorted by product description, along with their sales rank and the five other products with which they were most commonly purchased. The program accepts four command line arguments and must not expect any user interaction from the keyboard. The first parameter to the program is the name of the produc t list to read in; the second parameter is the file containing information about past transactions. The third parameter is the name of the file to which the ordered product list will be written, and the fou rth parameter is the name of the file to which any error or warning messages will be output. That is, the program will be run with the following command: java SalesInfoMiner products transactions output-file If an incorrect number of arguments is supplied, then the program must output an error message explaining the arguments required before terminating. For Part 1, you can assume that both input files are in correct format. Product File This file contains data for one or more products • Each product occupies two lines • Line 1 contains the product id, which is a string of 13 digits • Product IDs are unique • Line 2 is the description of the product, which is not an empty stringThus, the data for a product has the format shown below: ProductID A thirteen digit string Product Description A text string For example: 1234567890123 Milk - full cream 600ml 9832983102938 Bread - wholemeal loaf 1299128391283 Eggs, Extra Large, Barn laid Sales Transaction File This file contains data for one or more sale transactions • Each sale transaction has 2 + n lines, where n is the number of items in this sale transaction as specified on line 2 of the sale transaction • Line 1 has the format Receipt number: receipt number where receipt number is a positive integer • Receipt numbers are unique • Line 2 has the format Number of items: number of items where number of items is a positive integer • Each sale item occupies a line, which contains the product id of the item • All product IDs in a sale transaction are distinct and must exist in the product file
Views: 30 Libraay Downloads
CAREERS IN CSE –COMPUTER SCIENCE ENGINEERING,GATE,Software Jobs,MBA,MTech
 
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CSE-COMPUTER SCIENCE ENGINEERING CAREERS. Go through the career opportunities of CSE, Govt jobs and Employment News channel from Freshersworld.com – The No.1 job portal for freshers in India. Visit http://www.freshersworld.com for detailed job information, campus recruitment GATE notification, GATE pattern, higher education details of CSE- COMPUTER SCIENCE ENGINEERING. Computer Science engineering deals with design, implementation, management of information system of both software and hardware processes. Computer Science engineers are involved in developing the software applications, testing and debugging the code , deployment of software and designing and modification of the component. They use different software to store and manage data in a secured manner. Every computer science engineer will have a basic knowledge about the programming languages like c,c++,java, python etc.. ,they will have problem solving skills, logical skills, data mining, knowledge in artificial intelligence, different algorithms and current technologies which are existing and used by the enterprises. Apart from this there are various domain specifications as well, like ruby on rails, agile, php, etc. Thus Computer science engineers after completion of the degree, has got engrossing and challenging oppurtunities available when compared to the other fields of engineering. One can work in database management, IT, embedded systems, Telecommunication, computer hardware & software implementation & maintenance, multimedia, web designing, gaming, and almost all other industries in this sector. It is worthwhile to note that the computer industry has witnessed such phenomenal growth in recent years that IT majors like Infosys & TCS have been the major recruiters across all other branches throughout the engineering colleges in the country. • When it comes to job, we have competitive exams like GATE exam which provide a CTC upto 8.00+lacs and also other firms like TCS • Infosys • Wipro • HCL • Accenture • Cognizant • Microsoft • IBM • Adobe • Google • Accenture • Cisco • Oracle • Sun Microsystems • Yahoo • Tech Mahindra • Mahindra Satyam • Toshiba, • Amazon, etc,.recruits a huge number of employees every year with eye-catching pacakages. (masters in computer science ) Those who are interested in pursuing higher ducation after bachelor’s have vast choices like Msc in data mining, artificial intelligence, distribution system, computer design, human-computer interaction, visual computing, software development, robot designing etc,. The degree will be worth for those who have a desire towards programming and other cutting edge technologies. Visit Preparation and placement tips for IT jobs at: http://placement.freshersworld.com?src=Youtube For more jobs & career information and daily job alerts, subscribe to our channel and support us. You can also install our Mobile app for govt jobs for getting regular notifications on your mobile. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube - - ***Disclaimer: This is just a career guidance video for fresher candidates. The name, logo and properties mentioned in the video are proprietary property of the respective companies. The career and job information mentioned are an indicative generalised information. In no way Freshersworld.com, indulges into direct or indirect recruitment process of the respective companies.
C++ Programming
 
01:10:33
Get the Cheat Sheet Here : http://goo.gl/OpJ209 Subscribe to Me: http://bit.ly/2FWQZTx Best Book on C++ : http://goo.gl/GLLL0g How to Install C++ on Windows : https://youtu.be/SykxWpFwMGs?t=1m47s C++ for Beginners : https://youtu.be/DamuE8TM3xo Like the channel? Consider becoming a Patreon! Check it out here: ►► https://www.patreon.com/derekbanas Data Types : 2:40 Arithmetic : 6:02 If Statement : 9:19 Switch Statement : 12:01 Ternary Operator : 13:08 Arrays : 13:49 For Loop : 16:30 While Loop : 17:56 Do While Loop : 19:42 User Input : 20:27 Convert String : 20:56 Strings : 21:39 Vectors : 27:47 Functions : 30:16 Recursive Function : 32:37 File I/O : 34:57 Exception Handling : 38:38 Pointers : 40:02 Reference Operator : 40:25 Classes / Objects : 47:12 Private : 47:55 Static Variables : 48:21 Public / Encapsulation: 49:02 Constructors : 50:42 Static Functions : 51:46 this : 53:16 Inheritance : 57:29 Call Superclass Constructor : 59:14 Execute Static Method : 1:00:34 Virtual Methods : 1:02:45 Polymorphism : 1:07:39 Abstract Data Type : 1:08:29 *Watch More Learn in One Videos* ►► Java - https://youtu.be/n-xAqcBCws4 ►► C++ - https://youtu.be/Rub-JsjMhWY ►► Python - https://youtu.be/N4mEzFDjqtA ►► MySQL - https://youtu.be/yPu6qV5byu4 ►► PHP - https://youtu.be/7TF00hJI78Y ►► Kotlin - https://youtu.be/H_oGi8uuDpA ►► C# - https://youtu.be/lisiwUZJXqQ ►► JavaScript - https://youtu.be/fju9ii8YsGs
Views: 4060381 Derek Banas
R Tutorial 09: Random Numbers
 
02:00
R Tutorial 09: Random Numbers How to Generate Random Numbers in R and how to make and change vector names ? The software that is used for data mining / machine learning / data science / statistical computing and mathematical problem solving. For more detailed discussions on various topics checkout: http://rstatistics.net/ http://rstatistics.net/r-tutorial-exercise-for-beginners/ Get regular awesome tips on R programming twitter: http://twitter.com/r_programming Like our 'One R Tip A Day' facebook page and check get notifications in the 'like' button dropdown to get nice R tips on your news feed every day! http://facebook.com/rtipaday Subscribe NOW! by clicking the 'Subscribe Button' for updates on free 'R Programming for Data science' Tutorial videos on our channel. For Best Results, watch in HD. R is world's most widely used open source statistical programming language. It's the # 1 choice of data scientists and supported by a vibrant and talented community of contributors. R is taught in universities and deployed in businesses worldwide. This latest R Programming Course for Data Science is most suitable for Non-Programmer statisticians and Newbies who want to become the most coveted Data science professional that most companies are looking for.
Views: 32607 LearnR
Data Science & Machine Learning - R Data Structures - Data Frames - DIY- 5 -of-50
 
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Data Science & Machine Learning - Frequently used R commands - DIY- 5 -of-50 Do it yourself Tutorial by Bharati DW Consultancy cell: +1-562-646-6746 (Cell & Whatsapp) email: [email protected] [email protected] website: http://bharaticonsultancy.in/ Data Frames Has both rows and columns. Analogous to excel spreadsheet or database. List of vectors or factors. stringsAsFactors = FALSE. Else R will automatically convert every character vector to a factor. MyDataFrame (angle brace)- data.frame(produce,inventory, Produce_Type, Refill, stringsAsFactors=FALSE) Data Frames (contd…) MyDataFrame$produce MyDataFrame[c(“produce”,”inventory”)] MyDataFrame[2:4] – shows column 2 to 4. MyDataFrame[1,2] – intersection of matrix cell 1 & 2. MyDataFrame[c(1,2), c(2,4)] – shows 1st & 2nd rows for columns 2 & 4. MyDataFrame[1,] – shows all columns for for the first row. MyDataFrame[,1] – shows all rows for the first column. MyDataFrame[,] – shows all rows & columns. Hands On – R Machine Learning Ex-5 Create a DataFrame – MyDF_cust with all the customer vectors and factors created in ex – 2 & 3. Display these DataFrame features. Data Science & Machine Learning - Getting Started - DIY- 1 -of-50 Data Science & Machine Learning - R Data Structures - DIY- 2 -of-50 Data Science & Machine Learning - R Data Structures - Factors - DIY- 3 -of-50 Data Science & Machine Learning - R Data Structures - List & Matrices - DIY- 4 -of-50 Data Science & Machine Learning - R Data Structures - Data Frames - DIY- 5 -of-50 Data Science & Machine Learning - Frequently used R commands - DIY- 6 -of-50 machine learning, data science, R programming, Deep Learning, Regression, Neural Network, R Data Structures, Data Frame
Views: 1140 BharatiDWConsultancy
Data Mining using the Excel Data Mining Addin
 
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The Excel Data Mining Addin can be used to build predictive models such as Decisions Trees within Excel. The Excel Data Mining Addin sends data to SQL Server Analysis Services (SSAS) where the models are built. The completed model is then rendered within Excel. I also have a comprehensive 60 minute T-SQL course available at Udemy : https://www.udemy.com/t-sql-for-data-analysts/?couponCode=ANALYTICS50%25OFF
Views: 74801 Steve Fox
How to Update your Lightning Channel Balance ~ Bitcoin to the Max
 
08:19
To allow an opportunity for penalty transactions, in case of a revoked commitment transaction, all outputs that return funds to the owner of the commitment transaction (a.k.a. the "local node") must be delayed for to_self_delay blocks. This delay is done in a second-stage HTLC transaction (HTLC-success for HTLCs accepted by the local node, HTLC-timeout for HTLCs offered by the local node). If you learned something valuable, donate Bitcoin to Max: 3DqEnU6dW6bZesrVdThrrQjQKgN7dpY5vv https://tallyco.in/HillebrandMax Support the show by buying bitcoin on https://hodlhodl.com/join/ERCT Listen to WCN Audio Podcasts: https://itunes.apple.com/us/podcast/the-world-crypto-network-podcast/id825708806 Check out the brand new http://WorldCryptoNetwork.com/ Find out more about Max https://towardsliberty.com Follow WCN on Twitter: https://twitter.com/WorldCryptoNet Follow Max on Twitter: https://twitter.com/HillebrandMax Contribute to Max’s Bachelor Thesis on Multi Signature in Lightning Network Payments: https://github.com/MaxHillebrand/LightningMultiSig Bitcoin to the Max: https://youtube.com/playlist?list=PLPj3KCksGbSZtGhC7nIr_Mf1oCeP8U1tV Read Rothbard ~ Use Bitcoin: https://youtube.com/playlist?list=PLPj3KCksGbSafpOorg0NdeVXGIPNqV_8a Open Source Everything: https://youtube.com/playlist?list=PLPj3KCksGbSb1h33FZbsrtr1feIIwTBHt Hackers Congress Paralelni Polis 2018: https://youtube.com/playlist?list=PLPj3KCksGbSY8xt-x-KoDb6L380odP_qu Baltic Honeybadger 2018: https://youtube.com/playlist?list=PLPj3KCksGbSZsgH48ZDxNdzRXbg_pvMnz Nodl Personal Bitcoin Assistant: https://www.youtube.com/playlist?list=PLPj3KCksGbSYvbhhUpIehNqnXFLkz1AD1 Bisq Decentralized Exchange: https://youtube.com/playlist?list=PLPj3KCksGbSZR33X7kJmDMwIEH-wrrpCJ ColdCard Wallet: https://youtube.com/playlist?list=PLPj3KCksGbSZJzC4besvtu8CSroBosrdt Purism: https://youtube.com/playlist?list=PLPj3KCksGbSZm6k6GlJRhY6T7wSvoEWbG Bitcoin Op Tech Newsletter: https://youtube.com/playlist?list=PLPj3KCksGbSY9pV6EI5zkHcut5UTCs1cp What Has Government Done to Our Money? By Murray Rothbard: https://youtube.com/playlist?list=PLPj3KCksGbSbPVUAhYqILAYQ3uUbh2zOu Mises University: https://youtube.com/playlist?list=PLPj3KCksGbSanfYiAp8JSHxIjBm66yPf5 Hayek Summer Workshop: https://youtube.com/playlist?list=PLPj3KCksGbSbx7WQMTJAG6wLd4tK9Llr9
Python for Beginners: Reading & Manipulating CSV Files
 
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A quick tutorial designed for anyone interested in Python and learning what basic programming skills can do for you. More Python training & resources at: https://newcircle.com
Views: 209849 InfoQ
Build a Web Proxy Server
 
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Continue the Conversation at http://www.GeekBrainDump.com Today's Topic: Web Proxy Servers allow you to to bypass web filters and be able to access content that you could not otherwise. It is also an easy way to protect your privacy from website data collection, but if you use a Public Web proxy you have no idea who is maintaining it, and war they may be logging. Running your own Web Proxy Server is an easy way to make sure you know your data is safe. There are many different Proxy Scripts available, but make sure to read the license because some of them can be draconian. Generally to setup a Web Proxy Server you will need a Web Server with PHP and cURL installed. In the demonstration we used PHP-Proxy: https://www.php-proxy.com Information on cURL can be found here: http://en.wikipedia.org/wiki/CURL To install cURL just do a Google search from specific instructions. Today's Review: AOC Q2963Pm 29" Ultra Widescreen Monitor: http://www.aocmonitorap.com/root/anz/product_display.php?id=408 Today's Questions: "How is IT an Art?" "What is the best laptop to buy for programming" Today's Final Thoughts: Religion is generally best left out of the work place and professional environments. Today's Projects: GeekWebProxy.com is an open Web Proxy that is now available. ********************* Tech Questions??? ******************** Spiceworks Community of IT professionals is the place to get your tech questions answered: http://goo.gl/75thj7 *************** Please Visit our Sponsors!!! *************** Schooley Mitchell - Cheaper ISP and Telephone Service - http://goo.gl/Wu78H8 Plixer - FREE Net Flow - Network Analysis Tool - http://goo.gl/tSBPjC TotalSem - A+, Net+, Security+ Books and Test Prep - http://goo.gl/GqeP3W Altaro - Free HyperV Backup Software - http://goo.gl/K8SzFN Nerds We Can Fix That - Start Your Own Computer Services Franchise - http://goo.gl/WVaER1 Veeam - FREE Training on Backup in Virtualized Environments - http://goo.gl/GFYaTg Spiceworks - FREE Network/ Mobile Device Management - http://goo.gl/BJt9c1 *********** For More Eli The Computer Guy... ************* Website: http://www.EliTheComputerGuy.com Twitter: http://www.Twitter.com/EliComputerGuy Google+: https://plus.google.com/+Elithecomputerguypage
Views: 126324 Eli the Computer Guy
How to read Excel files with Python (xlrd tutorial)
 
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Learn how to read out data from an Excel document using the xlrd Python module. The xlsx and xls file formats are supported. xlrd docs: http://www.lexicon.net/sjmachin/xlrd.html Type Numbers: 0 - XL_CELL_EMPTY 1 - XL_CELL_TEXT 2 - XL_CELL_NUMBER 3 - XL_CELL_DATE 4 - XL_CELL_BOOLEAN 5 - XL_CELL_ERROR 6 - XL_CELL_BLANK
Views: 198876 triforcelink
INSANE Unraidable Base? - Gmod DarkRP Life (Most OP Weapon Gluon Gun And Power Armor)
 
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INSANE Unraidable Base? - Gmod DarkRP Life (Most OP Weapon Gluon Gun And Power Armor) I thought to myself I try my unraidable base on ASAP I let people read me over and over again, in ASAP you can craft some wicked guns and some super armour, the gun is so Op that it one shot everyone even if you've got a suit of armour on and the armour has a radar so you can see through bases. they use EMP grenades to blow the doors up but we're not going to make it easy for them! Name: ►[UK] AsapGaming.co - ▌Unbox|Mining|Suits|BITMINERS▌ Address: 164.132.206.29:27015 Download Base Here : https://ufile.io/a3rse There is only 30 Day's be quick How to install C:\SteamLibrary\steamapps\common\GarrysMod\garrysmod\data\advdupe2 Drop it in there :) Your welcome! 🔔 Subscribe for more great videos 🔔 ➡ https://goo.gl/NMECpD 🎉 My Merchandise 🎉 ➡ https://goo.gl/EYkJMX 👉 Send me a TIP ➡ 💵 https://goo.gl/xEoPN6 💵 Download Apps Or Watch videos :) 💙 My Unturned Server 💚 Elitelupus RP | 48 Slot | No KOS | 24/7 IP : 149.202.86.203 Port 27015 Map : Custom RP Map Thank you for watching ! Drop a like if you liked it ! Share with a friend ! Remember to come join my steam group and discord ! Please check out the Legends list ! 👉 Merchandise ➡ 👕 https://goo.gl/XnlmTJ 👕 👉 Discord ➡ http://discord.gg/elitelupus 👈 👉 G2A (Cheap games) ➡ https://goo.gl/mehyB5 👈 👉 Instagram ➡ https://goo.gl/e1yP4H 👈 👉 Facebook ➡ https://goo.gl/oOinOx 👈 👉 Twitter ➡ https://goo.gl/AqfnHX 👈 👉 Steam Group ➡ https://goo.gl/F5AtFS 👈 👉 Tumblr ➡ https://goo.gl/6uURqV 👈 ❗ Patreon ➡ https://goo.gl/Ujiohz ❗ ⬅️ For Extra Support 💗 Thank you for all your support 💗 Server Sponsor : ⭐ Servers with out lag! Many servers to play on Sandbox to Survival to Arena Go check them out https://www.freezzer.com/servers/ Join me in the adventure of role-play in unturned i do Unturned Raid, Unturned Speed build , Unturned RP, Unturned Swat , Unturned Police, Unturned Shop, Unturned DEALERSHIP Maybe even Unturned dating XD Hope you guys really join coming on this adventure with me! Game: GMod Built on a modified version of Valve's Source engine, Garry's Mod (or GMod for short) is a physics sandbox game. One of the great strengths of Garry's Mod is that it is incredibly modder friendly. This has lead to a thriving community that is always coming up with new addons and gamemode for everyone to enjoy. Music : 📢 Production Music courtesy of Epidemic Sound: http://www.epidemicsound.com Outro Music : 📢 Jim Yosef - Lights [NCS Release]Jim Yosef - Lights [NCS Release]
Views: 58441 Elitelupus
c++,design pattern revealed 1.1화
 
01:00:03
Views: 857 ProgC
Swift - Read and Write Text File Tutorial
 
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Check out our iOS Course: http://www.seemuapps.com/iosswiftcourse Tutorial on Writing (Saving) to and Reading from a text file in Swift. Source Code: https://github.com/awseeley/Read-Write-Text-File-Swift-Tutorial Subscribe for more tutorials: http://bit.ly/1xs53Li Our Website: http://www.seemuapps.com Follow us on Twitter: https://twitter.com/SeemuApps Like us on Facebook: https://www.facebook.com/SeemuApps
Views: 22086 Seemu Apps
8- Read Lake Project: "What has worked, and what hasn't"- Garnet Wood, 2017
 
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History of geophysical techniques used, and their effectiveness, over the Read Lake and MacArthur River uranium deposits, Athabasca Basin, Saskatchewan, Canada. Presented by Garnet Wood (Cameco), in collaboration with Clare O'Downd and Clinton Keller, at the Saskatchewan Geological Open House, Saskatoon, Saskatchewan, November 27-29, 2017. Video reproduced with presenters consent. --------------------------------------------------------------------------------------- Condor Consulting YouTube Channel: http://www.youtube.com/c/EducationalGeophysicsGeologyVideos-Condor Condor Consulting Website: http://www.condorconsult.com/ --------------------------------------------------------------------------------------- Full Series List: AEGC 2018- "AI/Machine Learning Opportunities and Challenges for Minerals Exploration" Workshop: https://www.youtube.com/playlist?list=PLUfG7j4LhdsfmOg6rIVDeiuSIK2Y8JvLs AMA 2017- "Application of Airborne Geophysics to Minerals Exploration in Alaska" Workshop: https://www.youtube.com/playlist?list=PLUfG7j4Lhdsf3T3P9UBkTks8FUE97-eCI ARB 2004- "Salute to Tony Barringer": https://www.youtube.com/playlist?list=PLUfG7j4LhdsfbuJYlnJ964XRBv6xBImQO ASEG 2015- "More Than Bumps" Workshop: https://www.youtube.com/playlist?list=PLUfG7j4LhdsdZ9CxKBPZh3qozAYXpLLPa ASEG 2013- "Workshop in Exploration Under Cover" Workshop: https://www.youtube.com/playlist?list=PLUfG7j4Lhdscw0S3fgwhIewpV4KbYKcWN BCGS 2016- "Geophysics & Geological Case Studies" Symposium: https://www.youtube.com/playlist?list=PLUfG7j4LhdsfimY5bEs57H-2UbGtQwdFH BCGS 2014- "The Laylor Deposit" Symposium: https://www.youtube.com/playlist?list=PLUfG7j4Lhdseqm_7FLVddveLWxJ1qRtZo DMEC 2017- "What is the Question?" Symposium: https://www.youtube.com/playlist?list=PLUfG7j4LhdsdRYnz8_duv92u59RkoRVnu DMEC 2017- "The Value of Regional Data in Terrane Scale Assessments" Workshop: https://www.youtube.com/playlist?list=PLUfG7j4LhdsdXtoXNTuo7a_3DfUuDFBN7 DMEC 2016- "Making Technology Work - The Importance of Time and Patience" Workshop: https://www.youtube.com/playlist?list=PLUfG7j4LhdscZW36QwqSXbULEryca6DD5 DMEC 2015- "Developing the tools an techniques to explore undercover: a global initiative" Workshop: https://www.youtube.com/playlist?list=PLUfG7j4Lhdsc9ORrKzj4jH5iaGmxEW_74 GB & WC 2013- "Sed-hosted Deposits"; "Inversion and Application"; "Porphyry Deposits"; "Epithermal Deposits" Symposium: https://www.youtube.com/playlist?list=PLUfG7j4LhdscBu94iQd1g4qD3P6wGQcm3 GSN 2015- "New Concepts and Discoveries" Symposium: https://www.youtube.com/playlist?list=PLUfG7j4LhdsfdWogkncxyY_syEYGhy1sS Other Presentations: https://www.youtube.com/playlist?list=PLUfG7j4LhdsdPIePwC-_GcTCThGB2CoA8 SGS 2017- Open House: https://www.youtube.com/playlist?list=PLUfG7j4Lhdsd8kxeDPHs1LNOCTLYcNcvh SEG 2018- "Porphyry Copper" Workshop: https://www.youtube.com/playlist?list=PLUfG7j4LhdsfO93RbYNOrN0idAtYaZ4Gd
FastPCR reading sequences
 
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Import sequences are not different for two editors: both editors take all ways, with keyboard (Shit-Insert, Ctrl-V) and allowed work with right-click mouse displays a contextual menu. Importing sequences must be at the same format. Degenerate DNA sequences are accepted as IUPAC code is an extended vocabulary of 16 letters which allows the description of ambiguous DNA code. Each letter represents a combination of one or several nucleotides: M=(A/C) R=(A/G) W=(A/T) S=(G/C) Y=(C/T) K=(G/T) V=(A/G/C) H=(A/C/T) D=(A/G/T) B=(C/G/T) N=(A/G/C/T), U=T and I (Inosine). Sequence formats are simply the way in which the amino acid or DNA sequence is recorded in a computer file.
Views: 535 PrimerDigital
Mail Mining Outlook add in guide
 
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Mail Mining is a freeware Outlook add in that helps you dynamically rank email, control email alerts and file messages efficiently. Mail Mining makes you more productive.
Views: 5730 BrightEye Eran
Union and Intersection of two sorted arrays | GeeksforGeeks
 
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Explanation for the article: http://www.geeksforgeeks.org/union-and-intersection-of-two-sorted-arrays-2/ This video is contributed by Harshit Jain.
Views: 37358 GeeksforGeeks
#1 **UPDATED COIN READINGS!!** A10 V1 Streamed ~TIMESTAMPED
 
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https://cryptovues.youcanbook.me/ For A Personal Reading $85 Crypto Developement 500+ Sponsored on the Channel Coin Reading $120 ea. 5 to 10min Audio Recording 3 Questions 45$ NEG All Readings Paid BTC ETH LTC Only/flexible Meetings are free **********TIMESTAMPS FOR EACH COIN*********** MONETIZECOIN 11:51 BITAI 21:24 DROPIL 27:25 NOVACHAIN 33:47 ARBITRAGING 38:35 ICEROCK MINING 44:42 MINTCOIN OFFICIAL 50:50 NEO 55:17 PAGAREX 1:02:17 THORNCOIN 1:09:17 CHRYSOS 1:15:28 VERGE 1:22:25 FINECOIN 1:25:48 DIGIBYTE 1:37:09 ELECTRONEUM 1:41:50 CAPITAL EXPANSE 1:51:37 RIPPLE GOLDGATE NUCLEUS VISION BITCONNECTX CAN BE FOUND HERE FROM THE STREAM TODAY ALONG WITH ALL THE THANKYOUS AND SHOUTOUTS; ALSO TIMESTAMPED. https://youtu.be/V9tdlcB1PM0 *******INFO ABOUT THE STREAM********** Things change in crypto all the time. The same goes for tarot readings. Sometimes people change their minds and there are so many moving parts to crypto that I want to keep you all updated as to avoid; the proverbial pit that I'm digging for myself. In this livestream we're going to do an update reading on the coins previously uploaded on the channel. ********************************************* After this we shall move onto the rest of the list linked here. https://www.youtube.com/watch?v=AMw9P... SUBSCRIBE! ********HOW TO GET A CRYPTO READING ********* You can send your contribution for any video to get your videos up on the channel asap! Keep in mind that my channel is unbiased and the cards are read unfiltered with no preferential treatment. BTC 14V5UoRh7EjbcdyAMCYJWd3WtriVKUW7BJ ETH 0xf59e5640c4369750Dba3186D820bCDB72E96eD3B You can send in your contribution to this address. Once it has been confirmed by the blockchain; you can expect your video within 24 to 48 hours. Let me know if want to be named as a sponsor or prefer to be anonymous. Please respond to this reply/email if you have questions or anything else before I do your reading. For Personal Private & Confidential Readings Contact Me Here ******** Email [email protected] ******** All the best Carolyn *************************************************** CryptoVues Your crypto tarot psychic reader. *************************** SUBSCRIBE! *************************** My DTUBE Channel https://d.tube/#!/c/clearvues #TAROTANALYSIS #ANALCRYPTO #PSYCHICCRYPTO #TAROTTECH . #CRYPTOVUES #technicalanalysis #technical #prediction #bitcoin # ethereum#market #coins #cryptovues #vues #fulltime #fulltimecrypto #future #crypto #analysis #tarot #zodiac #horoscope #tarotanalysis #cryptovues
Views: 889 Vues
Forbes finTech list   Ripple,coinbase,Gemini
 
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Ďakujem Vám za priazeň,sledovanosť, lajky, komenty. Veľmi si to vážim a ak by mal niekto záujem. BTC adresa: 3BXu1wrEfNyh9x865NJPuE5TmwEbzNBvLU ETH Adresa: 0x5eb9aad55460c5c0e928cd3ebe0fb59ff71f8b40 LTC adresa: MScxixDXNKdVcbqkLoyzhBCUeZrLgPpigj (Nepovinné bol to len návrh na našom diskorde a dakujem celému discord za prejavený záujem) ## Burzy s ponukou páky ## Bitmex: https://www.bitmex.com/register/wB3IS9 Deribit burza (Futures trading aj Option trading) https://www.deribit.com/reg-4332.3972?q=home PrimeXBT: https://primexbt.com/giveaway?referralCode=8p736It&refSource=copy ## Burzy ## LocalBitcoin (P2P Trading platforma) : https://localbitcoins.com/?ch=ynk9 Binance (najlepia a najznámejšia burza) https://www.binance.com/?ref=15932578 ## Krypto zadarmo! ## PRESEARCH vyhľadávač: Zarabaj na surfovaní na nete: Link na vyhľadávač (Beta): https://presearch.org/signup?rid=116668 BRAVEvyhľadávač: https://brave.com/cry996 Tatatu: Stranka na pozeranie videi, 50 TTU tokens za reg.: https://beta.tatatu.com/?tid=d8ed164e... Faucet BTC a DOGE: https://freebitco.in/?r=15265273 http://freedoge.co.in/?r=3168533 ## Trading bots a multi platforma ## Bitsgap: Multi trading platform https://bitsgap.com/?ref=7515162 Wins.Fun Betting platforma Ak máte záujem o registráciu + 50$ bonus: https://wins.fun/register?r=5F018A5 Kod: 5F018A5 Trading automatizovaný boti: 3Commas trading Bot: 10% zľava pri registrácií cez link Link: https://3commas.io/?c=tc61684 Cryptohopper: https://www.cryptohopper.com/?atid=3379 HashFish - mining btc na pc https://hash.fish/join.html?sc=107587 ## Krypto bankomatové Katry ## Wirex karta: https://wirexapp.com/r/cryptoinvestsvk ## Linky na články ## Bittorent speed https://ethereumworldnews.com/btt-rewards-for-seeding-on-bittorrent-could-go-live-by-q2-2019/ https://www.bittorrent.com/speed/ https://cointelegraph.com/news/bittorrents-token-price-spikes-600-percent-since-ico Forbes Fintech 50 list https://ethereumworldnews.com/crypto-upstarts-ripple-coinbase-circle-included-forbes-fintech-2019/ https://www.forbes.com/fintech/2019/#5bdee2cd2b4c https://www.forbes.com/sites/forbespr/2019/02/04/forbes-releases-fourth-annual-fintech-50-list-the-future-of-your-money/#32fe78527aa8 https://www.forbes.com/sites/duenablomstrom1/2018/12/17/10-tech-and-industry-2019-predictions-that-you-will-read-everywhere/#722e69641996 Bitfury postaví najvačšiu mining farmu na svete https://ethereumworldnews.com/bitfury-commons-foundation-partner-bitcoin-btc-mining-paraguay/ BTC nodes https://bitcoinist.com/china-bitcoin-node-ban/ https://1ml.com/statistics
#15 CURSO DE DEEP LEARNING - IMDB SENTIMENT ANALYSIS
 
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****** Inscreva-se: https://goo.gl/G4Ppnf ****** Descrição: Neste vídeo vamos falar sobre Word Embedding com o Keras e vamos essa técnica de normalizção de dados no dataset de reviews do IMDB, para acessar esse dataset basta usar o keras.datasets, se você não tiver esse dataset ele vai ser baixado. Patreon: https://goo.gl/A3iCR9 Twitter: https://twitter.com/pehlimaofficial Python para iniciantes: https://www.youtube.com/playlist?list=PL39zyvnHdXh_osGdr5aMT5mj6cxNIiFlE C# para iniciantes: https://www.youtube.com/playlist?list=PL39zyvnHdXh_iuHCk4bBKW-U5qOLfug8Z F# para iniciantes: https://www.youtube.com/playlist?list=PL39zyvnHdXh8K9UgRWVmya_OIxyiPK8xA FanPage: https://www.facebook.com/C%C3%B3digo-Logo-598277996996624/?ref=bookmarks CódigoShare: https://www.facebook.com/groups/633347333472123/?ref=bookmarks
Views: 630 Código Logo
4 | Python Operators | by Hardik Patel
 
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Type of Operators - Arithmetic, Comparison, Assignment, Logical, Identity, Membership For more Update : http://aaravtech.com/articles/python like page on facebook : https://www.facebook.com/aaravtech/ TAGS: python tutorials,python tutorial in hindi,python tutorials for beginners,python tutorial for beginners with examples in hindi, python tutorial for beginners with examples,python tutorial complete,python tutorial for beginners,python tutorial app,python tutorial advanced,python tutorial advanced in hindi,python tutorial app for android,python tutorial arrays,python tutorial anaconda - installation and using conda,python tutorial automate the boring stuff,python tutorial bucky,python tutorial beginners,python tutorial by,python tutorial basic,python tutorial bad tutorial,python tutorial classes,python tutorial codecademy,python tutorial course,python tutorial cbt nuggets,python tutorial calculator,python tutorial clever, python tutorial csv,python tutorial corey schafer,python tutorial for c programmers,python tutorial durga,python tutorial datacamp,python tutorial data school,python tutorial database connection,python tutorial dan,python tutorial drawing,python tutorial download,python tutorial durgasoft,python tutorial derek banas,python tutorial dictionaries,python tutorial edx,python tutorial english,python tutorial examples,python tutorial excel, python tutorial easy,python tutorial exception handling,python tutorial en español,python tutorial eclipse,python tutorial ep 1, python tutorial for beginners in tamil,python tutorial for web development,python tutorial for network engineers,python tutorial for beginners bucky,python tutorial for beginners . from the basics to advanced topics,python tutorial for beginners in linux,python tutorial google,python tutorial gui,python tutorial guru99,python tutorial game,python tutorial geeksforgeeks,python tutorial gc reddy,python tutorial graph,python tutorial google developers, python tutorial gui programming,python tutorial graphics, python tutorial hindi,python tutorial hyderabad,python tutorial hacking,python tutorial hello world,python tutorial harvard, python tutorial html parser,python tutorial hands on,python tutorial http server,python tutorial hrvatski,python programming tutorial in hindi,python tutorial in linux,python tutorial in ubuntu,python tutorial in kannada,python tutorial in bengali,python tutorial in windows,python tutorial in bangla,python tutorial in naresh it, python tutorial in pycharm,python tutorial java brains, python tutorial jessica,python tutorial jupyter notebook, python tutorial json,python tutorial jupyter,python tutorial for java programmers,jessica mckellar python tutorial,jinja python tutorial, jenkins python tutorial,python tutorial kudvenkat,python tutorial khan academy,python tutorial kali linux,python tutorial kids, kivy python tutorial,python keylogger tutorial,keras tutorial python, kivy with python tutorial part 1,kaggle tutorial python,komodo ython utorial,python tutorial linux,python tutorial lists,python tutorial atest,python tutorial lynda,python tutorial list comprehension,python tutorial loops,python tutorial list tuple ictionary,python tutorial lessons,python tutorial linked list,python utorial lectures,python tutorial malayalam,python tutorial microsoft,python tutorial mmtuts,python tutorial math,python utorial machine learning,python tutorial modules,python tutorial ac,python tutorial matplotlib,python tutorial matrices,python utorial aresh technologies,python tutorial nareshit,python tutorial net ninja,python tutorial numpy,python tutorial network programming,python tutorial notepad++,python tutorial networking,python tutorial notes,python tutorial on ubuntu,python utorial oop,python tutorial os module,python tutorial opencv,python utorial on pycharm,python tutorial object oriented,python tutorial n lasses,python tutorial one video,python tutorial os,python tutorial n ac,python file i/o tutorial,python tutorial point,python tutorial laylist,python tutorial pycharm,python tutorial project,python utorial rogramming,python tutorial programming knowledge,python utorial andas,python tutorial practical,python tutorial part 1,python tutorial df,python tutorial quick,ython tutorial qazi,python tutorial quiz,python qt tutorial,python qt designer tutorial,qgis python utorial,python queue tutorial,qt creator tutorial python,python qt4 utorial,python qt5 tutorial,python tutorial read data from json and rite to files,python tutorial raspberry pi,python tutorial regular xpression,python tutorial regex,python tutorial romana,python utorial random,python tutorial read text file,python tutorial return,python tutorial re,
Views: 189 Aarav Tech

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