Twitter Mining with R part 1 takes you through setting up a connection with Twitter. This requires a couple packages you will need to install, and creating a Twitter application, which needs to be authorized in R before you can access tweets. We quickly go through this entire process which may take some flexibility on your part so be patient and be ready troubleshoot as details change with updates. Warning: You are going to face challenges setting up the twitter API connection. The steps for this part have been known to change slightly over time for a variety of reasons. Follow the general steps and expect a few errors along the way which you will have to troubleshoot. It is hard to solve these issues remotely from where I am.
Views: 68149 Jalayer Academy
Overview of using Rattle - a GUI data mining tool in R. Overview covers some of the basic operations that can be performed in Rattle such as loading data, exploring the data and applying some of the data mining algorithms on the data - all this without actually having to type any R code
Views: 38666 Melvin L
Includes working with r for, - getting tweets from twitter - saving data in a csv file - getting worldwide and local twitter trends - getting user timeline Machine Learning videos: https://goo.gl/WHHqWP R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 24056 Bharatendra Rai
R is already a Swiss army knife for data analysis largely due its 6000 libraries but until now it lacked an interface to the Google Analytics API. The release of RGoogleAnalytics library solves this problem. What this means is that digital analysts can now fully use the analytical capabilities of R to fully explore their Google Analytics Data. In this webinar, Andy Granowitz, Developer Advocate (Google Analytics) & Kushan Shah, Contributor & maintainer of RGoogleAnalytics Library will show you how to use R for Google Analytics data mining & generate some great insights. Useful Resources:http://bit.ly/r-googleanalytics-resources
Views: 30582 Tatvic Analytics
( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 78111 edureka!
R programming for beginners - This video is an introduction to R programming. I have another channel dedicated to R teaching: https://www.youtube.com/c/rprogramming101 In this video I provide a tutorial on some statistical analysis (specifically using the t-test and linear regression). I also demonstrate how to use dplyr and ggplot to do data manipulation and data visualisation. Its R programming for beginners really and is filled with graphics, quantitative analysis and some explanations as to how statistics work. If you’re a statistician, into data science or perhaps someone learning bio-stats and thinking about learning to use R for quantitative analysis, then you’ll find this video useful. Importantly, R is free. If you learn R programming you’ll have it for life. This video was sponsored by the University of Edinburgh. Find out more about their programmes at http://edin.ac/2pTfis2 This channel focusses on global health and public health - so please consider subscribing if you’re someone wanting to make the world a better place – I’d love to you join this community. I have videos on epidemiology, study design, ethics and many more.
Views: 493001 Global Health with Greg Martin
A short video tutorial for downloading website data into R using the Rvest package. I have used it countless times in my own RStats web scraping projects, and I have found it to be especially useful for R webscraping projects that involve a static HTML webpage. This guide will also cover installing/using the Selector Gadget tool. The Rvest package is available on CRAN. Visit http://www.selectorgadget.com for more information on Selector Gadget. In this video, we will download web data using RStudio and Google Chrome.
Views: 18699 R You Ready For It?
Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 1021283 David Langer
dplyr is a new R package for data manipulation. Using a series of examples on a dataset you can download, this tutorial covers the five basic dplyr "verbs" as well as a dozen other dplyr functions. Watch the follow-up tutorial: http://youtu.be/2mh1PqfsXVI View the R Markdown document: http://rpubs.com/justmarkham/dplyr-tutorial Download the source document: https://github.com/justmarkham/dplyr-tutorial Read about why I love dplyr: https://www.dataschool.io/dplyr-tutorial-for-faster-data-manipulation-in-r/ Tutorial contents: 1. Introduction to dplyr (starts at 0:00) 2. Loading dplyr and the example dataset (starts at 2:29) 3. Understanding "local data frames" (starts at 3:23) 4. Verb #1: `filter` (starts at 5:17) 5. Verb #2: `select`, plus `contains`, `starts_with`, `ends_with`, `matches` (starts at 7:54) 6. Using chaining syntax for more readable code (starts at 9:34) 7. Verb #3: `arrange` (starts at 12:53) 8. Verb #4: `mutate` (starts at 13:55) 9. Verb #5: `summarise`, plus `group_by`, `summarise_each`, `n`, `n_distinct`, `tally` (starts at 15:31) 10. Window functions: `min_rank`, `top_n`, `lag` (starts at 26:47) 11. Convenience functions: `sample_n`, `sample_frac`, `glimpse` (starts at 32:44) 12. Connecting to databases (starts at 34:21) == RESOURCES == Reference manual and vignettes: http://cran.r-project.org/web/packages/dplyr/index.html July 2014 webinar: http://pages.rstudio.net/Webinar-Series-Recording-Essential-Tools-for-R.html July 2014 webinar code: https://github.com/rstudio/webinars/tree/master/2014-01 Tutorial by Hadley Wickham: https://www.dropbox.com/sh/i8qnluwmuieicxc/AAAgt9tIKoIm7WZKIyK25lh6a GitHub repo: https://github.com/hadley/dplyr List of releases: https://github.com/hadley/dplyr/releases == LET'S CONNECT! == Newsletter: https://www.dataschool.io/subscribe/ Twitter: https://twitter.com/justmarkham Facebook: https://www.facebook.com/DataScienceSchool/ LinkedIn: https://www.linkedin.com/in/justmarkham/
Views: 171469 Data School
This is a video for RMD Sinhgad School of Engineering (BE-Computer) as a demonstration for one of the assignments of Business Analytics and Intelligence. Important Links: Ubuntu 16.04.2 LTS Download: https://www.ubuntu.com/download/desktop R installation instructions: https://www.datascienceriot.com/how-to-install-r-in-linux-ubuntu-16-04-xenial-xerus/kris/ R studio Download: https://www.rstudio.com/products/rstudio/download/ R Tutorial: http://tryr.codeschool.com/
Views: 7827 Varun Joshi
www.learnanalytics.in demostrates use of an free and open source platform to build sophisticated predictive models. We demonstrate using R package Rattle to do data analysis without writing a line of r code. We cover hypothesis testing, descriptive statistics, linear and logistic regression with a flavor of machine learning (Random Forest, SVM etc.). Also using graphs such as ROC curves and Area under curves (AUC) to compare various models. To download the dataset and follow on your own follow http://www.learnanalytics.in/datasets/Credit_Scoring.zip
Views: 43945 Learn Analytics
This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2lXhDAx]. The aim of this video is to show how powerful R is as a data language. We will query an internal example dataset and show how it can be filtered and aggregated on. • Learn about the structure of the internal mtcars dataset • Filter on the dataset • Aggregate on the dataset For the latest Big Data and Business Intelligence video tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 1012 Packt Video
This video is not for the expert but for the absolute beginner in social media data mining. How easy is it to get started? Just install R, install the R package twitteR, get yourself some Twitter api keys (see my video channel on this), write this handy little program that's just a few lines long, and you're all set to go! Don't worry at this starting point about understanding every last line in the code you write. Just get started, get some practice underneath your feet, and you'll learn, learn, learn as you go. This video was shot for the University of Maine at Augusta program in Social Science.
Views: 3339 James Cook
Also called Classification and Regression Trees (CART) or just trees. R file: https://goo.gl/Kx4EsU Data file: https://goo.gl/gAQTx4 Includes, - Illustrates the process using cardiotocographic data - Decision tree and interpretation with party package - Decision tree and interpretation with rpart package - Plot with rpart.plot - Prediction for validation dataset based on model build using training dataset - Calculation of misclassification error Decision trees are an important tool for developing classification or predictive analytics models related to analyzing big data or data science. R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 59213 Bharatendra Rai
R Programming for Data Analysis, Part 1- This video is a step by step tutorial on How to download R studio, How to install R studio, Getting started with R Do check out our "Programming for Data Science Using R" course http://bit.ly/2VXSM0U ______________________________________________________________________________________ Use the coupon code "YOUTUBE30" to avail exclusive discounts for YouTube Learners ______________________________________________________________________________________ About the course Learn the fundamentals of R – one of the top programming languages for data science. Apply the principles to effectively analyze and interpret complex data. Master the knowledge and skills you need to program in R, one of the top programming languages for data science, and make yourself ready for a career in this ever-growing field. R is an open source programming language and a powerful tool used widely by statisticians and data miners for developing statistical software and data analysis. After completing the R programming for Data Science certification course, you’ll be considered as a strong and competent R programmer. The course will help you to: Set up the R programming environment. Know the fundamental concepts of programming for Data Science using R. Analyze data to provide inputs to business for making key decisions. Term 1 1.1 Introduction to R programming 1.2 Control structures -Conditional statements (if-else blocks) -Switch statements -Loops Term 2 2.1 Functions -User defined functions -Functions with default arguments -Functions with variable number of arguments -Functions returning values 3.1 File I/O operations - Reading data from a csv file - Reading data from XML file - Saving the contents of data frame into a file ---------------------------------------------------------------------------------------------------------------------------------- Subscribe to our channel to get video updates. Hit the subscribe button above https://www.youtube.com/channel/UCllnb6S5fPzpVYcV8KYzhnA?view_as=subscriber?sub_confirmation=1 Also follow us on other channels: Facebook: https://www.facebook.com/manipalprolearn/ Twitter: https://twitter.com/manipalprolearn LinkedIn: https://www.linkedin.com/company/manipal-prolearn/ r programming | r tutorials | r tutorials for beginners | rstudio | r studio | data science with R | | r programming for beginners | free online courses
Views: 2510 Manipal ProLearn
Provides steps for applying random forest to do classification and prediction. R code file: https://goo.gl/AP3LeZ Data: https://goo.gl/C9emgB Machine Learning videos: https://goo.gl/WHHqWP Includes, - random forest model - why and when it is used - benefits & steps - number of trees, ntree - number of variables tried at each step, mtry - data partitioning - prediction and confusion matrix - accuracy and sensitivity - randomForest & caret packages - bootstrap samples and out of bag (oob) error - oob error rate - tune random forest using mtry - no. of nodes for the trees in the forest - variable importance - mean decrease accuracy & gini - variables used - partial dependence plot - extract single tree from the forest - multi-dimensional scaling plot of proximity matrix - detailed example with cardiotocographic or ctg data random forest is an important tool related to analyzing big data or working in data science field. Deep Learning: https://goo.gl/5VtSuC Image Analysis & Classification: https://goo.gl/Md3fMi R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 66712 Bharatendra Rai
In this text analytics with R Tutorial, I have talked about how you can get the trends data from twitter to understand the trend for the current day and accordingly you can design the campaign or strategy for communication on twitter. Taking the twitter trends data in R is specially helpful because in that case you can easily create the timeline of trend and get some greater insights about how the trends are changing and what you as a campaigner or communication strategist need to design your strategy. Text analytics with R,how to get trends data from twitter,twitter data mining,twitter trends in R,caputring twitter data in R,getting twitter trends in R,learn twitter text mining in R,twitter trends database in R,how to get twitter trend data in R,Analyzing twitter trends in R,analyzing twitter data in R,creating twitter trends database,twitter in R,r twitter,r with twitter,twitter with R,r tutorial,learning R Programming,beginners tutorial for R
Views: 996 Data Science Tutorials
This video is using Titanic data file that's embedded in R (see here: https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/Titanic.html). You can find both the data and the code here: https://github.com/A01203249/YouTube-Videos.git. Use git clone to clone this repo locally and use the code.
Views: 50474 Ani Aghababyan
Advanced Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 2: Setting up R with Weka http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/8yXNiM https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 6846 WekaMOOC
You can download the "Credit Card Dataset" from the below link: https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients Learn Data Science & Machine Learning by doing! Hands On Experience Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science! This course is for those : 1. Who wants to be Data Scientist 2. Who are working as analyst / software developer but wants to be Data Scientist What is Data Science ? Data science is used to extract patterns or insights from data to predict future or to understand customer behavior and so on. Data science is a "concept to unify statistics, data analysis and their related methods" in order to "understand and analyze actual phenomena" with data Mining large amounts of structured and unstructured data to identify patterns can help an organization to reduce costs, increase efficiencies, recognize new market opportunities and increase the organization's competitive advantage. Some Data Science and machine learning Applications Netflix uses data science & machine learning to mine movie viewing patterns to understand what drives user interest, and uses that to make decisions on which Netflix original series to produce. Companies like Flipkart and Amazon uses data science and machine learning to understand the customer shopping behavior to do better recommendations. Gmail's spam filter uses data science (machine learning algorithm) to process incoming mail and determines if a message is junk or not.. Proctor & Gamble utilizes data science (machine learning ) models to more clearly understand future demand, which help plan for production levels more optimally. Why Programming Won't Work in some Cases?? Have you ever thought of the scenario where all the cars will be moving without a driver that means something like automated machines say for example automatic washing machine. But there is a difference. 1. For automatic washing machine,we can write programs for the washing machine functionality. 2. For automated cars without drivers in high traffic.Just imagine ,how complex and dangerous it will be when someone starts coding /programming for such functionalities.For cars to automate we would require something which is called "Machine Learning " In this course, we are first going to first discuss Data Structures,etc. in R like : 1. Vectors 2. Matrices 3. Data Frames 4. Factors 5. Numerical/Categorical Variables 6. List 7. How to convert matrix into data frame Programming in R Data Visualization Then implementation/working of machine learning models like 1. Linear Regression 2. Decision Tree 3. Random Forest 4.Neural Networks 5. Deep learning 6. H2o framework 7. Cross validation /How to avoid Over fitting 8. Dimensionality Reduction Techniques All the materials for this data science & machine learning course are FREE. You can download and install R, with simple commands on Windows, Linux, or Mac. This course focuses on "how to build and understand", not just "how to use".It's not about "remembering facts", it's about "seeing for yourself" via experimentation. It will teach you how to visualize what's happening in the model internally.
Views: 2218 Machine Learning TV
How to Install Packages in R: How to Find and Install Packages for R with R Functions or RStudio Menus More Statistics & R Programming Videos: https://goo.gl/4vDQzT ►► Like to support us? You can Donate (https://bit.ly/2CWxnP2), Share our Videos, Leave us a Comment and Give us a Thumbs up! Either way We Thank You! In this R video tutorial we will learn to use the "install.packages" command/function in R programming language or menu options in RStudio. These video tutorials are useful for anyone interested in learning data science and statistics with R programming language using RStudio. Table of Content: 0:00:12 what are the packages in R programming language and why use them 0:00:46 how to access help menu for packages in R when using the "install.packages" command/function 0:01:00 how to install packages in R using "install.packages" command when you know the name of the package 0:01:53 how to install packages in R using "install.packages" command when you don't know the name of the package 0:02:48 how to load the library of commands and functions for a package in R 0:03:17 how to access and download packages for R from 'R-project.org' website 0:04:30 how to access help menu for a specific package in R 0:04:57 how to remove a package from R using "remove.packages" command 0:05:11 how to install packages in R using the menus in RStudio These video tutorials are useful for anyone interested in learning data science and statistics with R programming language. ► ► Watch More: ► Intro to Statistics Course: https://bit.ly/2SQOxDH ►Data Science with R 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 Concept and with R https://bit.ly/2zBwjgL ►Hypothesis Testing: https://bit.ly/2Ff3J9e 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!
Views: 187337 MarinStatsLectures- R Programming & Statistics
As part of submitting to Data Science Dojo's Kaggle competition you need to create a model out of the titanic data set. We will show you how to do this using RStudio. Titanic Data Set: https://www.kaggle.com/c/titanic Download RStudio: https://www.rstudio.com/products/rstudio -- Learn more about Data Science Dojo here: https://hubs.ly/H0hz71Q0 Watch the latest video tutorials here: https://hubs.ly/H0hz78h0 See what our past attendees are saying here: https://hubs.ly/H0hz72N0 -- 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 800 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- 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: 55834 Data Science Dojo
Join Richard Skeggs as he talks about data mining using R. Data mining is an analytic process designed to explore data in search of consistent patterns or systematic relationships between variables. Aimed at analysts with some working knowledge Richard will cover pre-processing, anomaly detection, association rule learning, clustering, classification, regression and summarisation with R. For more information and to download the supporting resources and data sets please visit: http://www.blgdataresearch.org/webinar-data-mining-with-r/ _______________________________________________ Exploring Data | Enhancing Knowledge | Empowering Society Follow us to find out more: Twitter @BLGDataResearch http://www.blgdataresearch.org/
Views: 18 ESRC BLG Data Research Centre
Download, Install Anaconda, Jupyter Notebook, Spyder for Python Direct Download Link : https://www.anaconda.com/download/ »See Full #Data_Mining Video Series Here: https://www.youtube.com/watch?v=t8lSMGW5eT0&list=PL9qn9k4eqGKRRn1uBmEhlmEd58ATOziA1 In This Video You are gonna learn Data Mining #Bangla_Tutorial Data mining is an important process to discover knowledge about your customer behavior towards your business offerings. » My #Linkedin_Profile: https://www.linkedin.com/in/rafayet13 » Read My Full Article on Data Mining Career Opportunity & So On » Link: https://medium.com/@rafayet13 #Learn_Data_Mining_In_A_Easy_Way #Data_Mining_Essential_Course #Data_Mining_Course_For_Beginner ✔ How to Install Data Mining Tools || Anaconda Installation for Data Mining || Data Mining Software Install anaconda Distribution Package for data mining, data science, data analysis how to install anaconda python on windows how to install anaconda python on windows 10 Why You Should Use Anaconda for Python Development Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough ipython notebook
Views: 2916 BookBd
This video will show you how to create and load dataset in weka tool. weather data set excel file https://eric.univ-lyon2.fr/~ricco/tanagra/fichiers/weather.xls
Views: 44349 HowTo
In this video, I introduce Google Trends by querying it directly through the web, downloading a comma-delimited file of the results, and analyzing it in R. Full walkthrough and code: http://amunategui.github.io/google-trends-walkthrough/ MORE: Signup for my newsletter and more: http://www.viralml.com Connect on Twitter: https://twitter.com/amunategui My books on Amazon: The Little Book of Fundamental Indicators: Hands-On Market Analysis with Python: Find Your Market Bearings with Python, Jupyter Notebooks, and Freely Available Data: https://amzn.to/2DERG3d Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud: https://amzn.to/2PV3GCV Grow Your Web Brand, Visibility & Traffic Organically: 5 Years of amunategui.github.Io and the Lessons I Learned from Growing My Online Community from the Ground Up: Fringe Tactics - Finding Motivation in Unusual Places: Alternative Ways of Coaxing Motivation Using Raw Inspiration, Fear, and In-Your-Face Logic https://amzn.to/2DYWQas Create Income Streams with Online Classes: Design Classes That Generate Long-Term Revenue: https://amzn.to/2VToEHK Defense Against The Dark Digital Attacks: How to Protect Your Identity and Workflow in 2019: https://amzn.to/2Jw1AYS CATEGORY:DataScience HASCODE:True
Views: 23193 Manuel Amunategui
R Tutorial - 4 - Install R and R Studio For Beginners [4/13] Official Link :- https://cran.r-project.org/ https://www.r-project.org/ Download R :- https://cran.r-project.org/bin/windows/base/ Download R Studio:- https://www.rstudio.com/products/rstudio/download/ In this video , We will learn about Installation of R and R Studio. This is Window installation video in which I used R Studio Free Version. It is best for Developers. What is R ? R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. Currently top most world wide compniese hiring for R developers. According to Data Science survay 2015,2016 R developer demands are very high. Subscribe to our YouTube channel at https://www.youtube.com/channel/UC6U2o83YHhhtM9W7IzWAPRA Also please like my facebook page :- https://www.facebook.com/learnetix/?ref=bookmarks Please comment down if you getting any issue regarding technical contain and also please share with others. Keywords :- r (programming language), r tutorial, introduction to r, data science, getting started with r, software tutorial, learning r, data analysis, statistical data analysis, machine learning (software genre), learn r, reading data into r, data mining (software genre), r-software, r analytics tutorial, r analytics training, r analytics, r predictive analytics, r analysis tutorial, data analysis (media genre), data scientist, data scientist tutorial -~-~~-~~~-~~-~- Please watch: "Apache Pig Tutorial | 1. Introduction to Apache Pig | Hadoop Pig Tutorial For Beginners" https://www.youtube.com/watch?v=RXAuNhho5do -~-~~-~~~-~~-~-
Views: 413 Nandan Priyadarshi
In this video, I go over the 3 steps you need to prepare a dataset to be fed into a machine learning model. (selecting the data, processing it, and transforming it). The example I use is preparing a dataset of brain scans to classify whether or not someone is meditating. The challenge for this video is here: https://github.com/llSourcell/prepare_dataset_challenge Carl's winning code: https://github.com/av80r/coaster_racer_coding_challenge Rohan's runner-up code: https://github.com/rhnvrm/universe-coaster-racer-challenge Come join other Wizards in our Slack channel: http://wizards.herokuapp.com/ Dataset sources I talked about: https://github.com/caesar0301/awesome-public-datasets https://www.kaggle.com/datasets http://reddit.com/r/datasets More learning resources: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-prepare-data http://machinelearningmastery.com/how-to-prepare-data-for-machine-learning/ https://www.youtube.com/watch?v=kSslGdST2Ms http://freecontent.manning.com/real-world-machine-learning-pre-processing-data-for-modeling/ http://docs.aws.amazon.com/machine-learning/latest/dg/step-1-download-edit-and-upload-data.html http://paginas.fe.up.pt/~ec/files_1112/week_03_Data_Preparation.pdf Please subscribe! And like. And comment. That's what keeps me going. And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 192260 Siraj Raval
In this text analytics with R video I have talked about an innovative twitterMap function for visualizing followers data in R. This R function helps identifying from which specific regions the followers are coming and where you have maximum strength. twitterMap function,text analytics with R,how to visualize twitter followers in R,using twitter map function to visualize followers data,data visualization in R,example of twitter mining in r,r twitter,twitter r,twitter data in r,twitter followers data in r,visualizing twitter data in r,twitter data visualization in r,twitter followers data,connect twitter with r,TwitterR packae,twitter data mining in R,R data mining,r data mining case studies,twitter case Source the twitterMap function - http://biostat.jhsph.edu/~jleek/code/twitterMap.R
Views: 1184 Data Science Tutorials
This video covers how you can can use rpart library in R to build decision trees for classification. The video provides a brief overview of decision tree and the shows a demo of using rpart to create decision tree models, visualise it and predict using the decision tree model
Views: 80838 Melvin L
R Tutorial 01: Installing R This lesson shows you how to get started with R by installing the software in a windows pc / computer. R is a programming language for statistical computing. Download and Install your R console. This video demonstrates a customized setup so as to enable easy maneuver while coding. Visit www.rstatistics.net for written R tutorials and more. The software that is used for data mining / machine learning / data science / statistical computing and mathematical problem solving.
Views: 65 Gladwin Analytics
In this Introduction to R tutorial, we introduce data frames in the R programming language. Data frames are unique to R, and are a collection of vectors that can be used to store any kind of data that you want in R! Download R: https://cran.r-project.org/ Download RStudio: https://www.rstudio.com/products/rstu... -- Learn more about Data Science Dojo here: https://hubs.ly/H0hBssQ0 Watch the latest video tutorials here: https://hubs.ly/H0hBszs0 See what our past attendees are saying here: https://hubs.ly/H0hBszN0 -- 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 830 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://plus.google.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: 3012 Data Science Dojo
In this text analytics with R data science tutorial I have talked about how you can get the tweets from a particular public user account as well as from your own account for the purpose of doing twitter data mining. Public users tweets from very influential people are important to understand the dynamics of world. Text analytics with R,how to get tweets from public user account,twitter user details in R,twitter R,R Twitter,user tweets in R,text mining in R,mining twitter data in R,twitter statistics in R,twitter numbers in R,building twitter database in R,twitter user database in R,R Twitter tutorial,getting twitter data in R,connecting twitter data with R,twitter mining in R,R tutorial for beginners,text mining tutorial for beginners,text analytics R, Twitter API to get recent tweets of a particular user, How to Use R to Scrape Tweets
Views: 971 Data Science Tutorials
Sample or in built datasets in R for beginners to quickly learn the tools without worrying much about real time data. In this video I've one through the some of the sample datasets available in R and how you can use it. Sample Data in R | Sample datasets for data mining | sample data sets for statistical analysis
Views: 465 Data Science Tutorials
Link to download data file: https://drive.google.com/open?id=0B5W8CO0Gb2GGUVNyZ1JqMW1NZjA Includes example of data partition or data splitting with R. - Shows steps for reading CSV file into R. - Illustrates developing linear regression model using training data and then making predictions using validation data set in r. - Discusses regression coefficients - Provides application example using an automobile warranty claims dataset R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.
Views: 32093 Bharatendra Rai
http://ytwizard.com/r/7FDfDB http://ytwizard.com/r/7FDfDB Python - Data mining and Machine learning Develop your own recommender system
Views: 11 Tech Ideas