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Rattle - Data Mining in R
 
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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: 39758 Melvin L
R - Twitter Mining with R (part 1)
 
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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: 69111 Jalayer Academy
Data Mining Tool:Rattle R GUI
 
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Link to download R Console: https://cran.r-project.org/
Views: 3491 Chandrakala Badaga
Introduction to Data Science with R - Data Analysis Part 1
 
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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: 1064569 David Langer
Google Analytics Data Mining with R (includes 3 Real Applications)
 
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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: 31193 Tatvic Analytics
Scraping Web Data in R - Rvest Tutorial
 
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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: 20425 R You Ready For It?
R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot
 
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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.
Decision Tree with R | Complete Example
 
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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: 62584 Dr. Bharatendra Rai
Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
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( 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: 84754 edureka!
Rattle for Data Mining - Using R without programming (CRAN)
 
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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: 44441 Learn Analytics
The Best Way to Prepare a Dataset Easily
 
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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: 203835 Siraj Raval
R - Install R packages from CRAN
 
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General discussion on R packages from CRAN, how to install them, and how to load them in an R session.
Views: 21330 Jalayer Academy
Installing Packages in R Studio
 
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Demonstration of how to install R packages from the graphical interface and the command line.
Views: 143014 Andrew Jahn
How to Install Packages in R | R Tutorial 1.13 | MarinStatsLectures
 
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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!
R Spatial Data 1: Read in SHP File
 
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Here we use R and RStudio to read in a spatial data file (as a SHP file), read in a contiguity (GAL) file created in GeoDa, create the same queen contiguity matrix in R and check that the two are the same, and compute a Moran's I. Link to Data File: https://sites.google.com/a/burkeyacademy.com/spatial/home/files/R%20Spatial%201%20Data.zip Link to Playlist of all Spatial Videos: https://www.youtube.com/playlist?list=PLlnEW8MeJ4z6Du_cbY6o08KsU6hNDkt4k My Website: http://www.burkeyacademy.com/ Support me on Patreon! https://www.patreon.com/burkeyacademy Talk to me on my SubReddit: https://www.reddit.com/r/BurkeyAcademy/ Link to download R: https://cloud.r-project.org/ Link to Download RStudio: https://www.rstudio.com/products/rstudio/download/ Here are the commands we used: library(spdep) library(rgdal) NCVACO = readOGR(dsn = ".", layer = "NCVACO") queen.nb=read.gal("queen.gal", region.id=NCVACO$FIPS) summary(queen.nb) queen.R.nb=poly2nb(NCVACO, row.names=NCVACO$FIPS) #Rook would be rook.R.nb=poly2nb(NCVACO,queen=FALSE) summary(queen.R.nb) isTRUE(all.equal(queen.nb,queen.R.nb,check.attributes=FALSE)) #moran(variable, listw, no. regions, sum of weights) moran(NCVACO$SALESPC,nb2listw(queen.nb), length(NCVACO$SALESPC), Szero(nb2listw(queen.nb))) moran.test(NCVACO$SALESPC,nb2listw(queen.nb))
Views: 9144 BurkeyAcademy
Get Twitter Data into R
 
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Tutorial on how to download twitter data into R. Link to code below. Brackets aren't allowed in YouTube descriptions (which means I can't include the R code in here, link to code - http://storybydata.com/get-twitter-data-into-r-tutorial/
Views: 5107 Story by Data
R Tutorial For Beginners | R Programming Tutorial l R Language For Beginners | R Training | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R Tutorial (R Tutorial Blog: https://goo.gl/mia382) will help you in understanding the fundamentals of R tool and help you build a strong foundation in R. Below are the topics covered in this tutorial: 1. Why do we need Analytics ? 2. What is Business Analytics ? 3. Why R ? 4. Variables in R 5. Data Operator 6. Data Types 7. Flow Control 8. Plotting a graph in R Check out our R Playlist: https://goo.gl/huUh7Y Subscribe to our channel to get video updates. Hit the subscribe button above. #R #Rtutorial #Ronlinetraining #Rforbeginners #Rprogramming How it Works? 1. This is a 5 Week Instructor led Online Course, 30 hours of assignment and 20 hours of project work 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. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course edureka's Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It covers concepts of Data Manipulation, Exploratory Data Analysis, etc before moving over to advanced topics like the Ensemble of Decision trees, Collaborative filtering, etc. During our Data Analytics with R Certification training, our instructors will help you: 1. Understand concepts around Business Intelligence and Business Analytics 2. Explore Recommendation Systems with functions like Association Rule Mining , user-based collaborative filtering and Item-based collaborative filtering among others 3. Apply various supervised machine learning techniques 4. Perform Analysis of Variance (ANOVA) 5. Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc 6. Use various packages in R to create fancy plots 7. Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights - - - - - - - - - - - - - - - - - - - Who should go for this course? This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Analysts' in near future. This is a must learn course for professionals from Mathematics, Statistics or Economics background and interested in learning Business Analytics. - - - - - - - - - - - - - - - - Why learn Data Analytics with R? The Data Analytics with R training certifies you in mastering the most popular Analytics tool. "R" wins on Statistical Capability, Graphical capability, Cost, rich set of packages and is the most preferred tool for Data Scientists. Below is a blog that will help you understand the significance of R and Data Science: Mastering R Is The First Step For A Top-Class Data Science Career Having Data Science skills is a highly preferred learning path after the Data Analytics with R training. Check out the upgraded Data Science Course For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Telegram: https://t.me/edurekaupdates
Views: 561489 edureka!
Decision Tree Classification in R
 
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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: 83629 Melvin L
Downloading and Installing R and RStudio on Mac or Windows
 
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Provides steps for downloading and installing R and RStudio on Mac or Windows. Playlist: https://www.youtube.com/playlist?list=PL34t5iLfZddv8tJkZboegN6tmyh2-zr_T 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: 4979 Dr. Bharatendra Rai
Data science : R Predictive analytics with Decision Tree {in தமிழ்}
 
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R - Decision Tree. Advertisements. Decision tree is a graph to represent choices and their results in form of a tree. The nodes in the graph represent an event or choice and the edges of the graph represent the decision rules or conditions. It is mostly used in Machine Learning and Data Mining applications using R. Video list in Tamil https://goo.gl/Pz2BPn Video list in English https://goo.gl/26f6T1 Data Download - http://atozknowledge.com/downloads/r/data1.csv YouTube channel link www.youtube.com/atozknowledgevideos Website http://atozknowledge.com/ Technology in Tamil & English
Views: 1576 atoz knowledge
R Tutorial #1 - Download, Installation, Setup - Statistical Programming Language R
 
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Part 1 of my R Tutorial - Download, installation and setup. R is a programming language and software environment for statistical computing and graphics. The R language has become a de facto standard among statisticians for the development of statistical software, and is widely used for statistical software development and data analysis. R is part of the GNU project. The website for R is http://www.r-project.org/ Also the Wikipedia article for R is useful to get a first impression of R.
Views: 131167 Tutorlol
R - Install R on USB
 
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Install R on a USB. Include your library of favorite packages and working directory. I have tested this on a few windows based machines and it has worked like a gem. Make sure you have about 150MB free to be safe. No need to format the drive.
Views: 10809 Jalayer Academy
Handling Class Imbalance Problem in R: Improving Predictive Model Performance
 
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Provides steps for carrying handling class imbalance problem when developing classification and prediction models Download R file: https://goo.gl/ns7zNm data: https://goo.gl/d5JFtq Includes, - What is Class Imbalance Problem? - Data partitioning - Data for developing prediction model - Developing prediction model - Predictive model evaluation - Confusion matrix, - Accuracy, sensitivity, and specificity - Oversampling, undersampling, synthetic sampling using random over sampling examples predictive models are important machine learning and statistical tools related to analyzing big data or working in data science field. 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: 17688 Dr. Bharatendra Rai
How to Install R and R Studio on Windows 10(Hindi)
 
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Hello Friends, This video shows How to Install R and R Studio on Windows 10 OS.First of all I want to share some basic information about R and R Studio. *R Programming: R is a programming language and free software environment for statistical computing and graphics supported by R foundation for statistical computing. The R language is widely used among statisticians and data miners for developing statistical software,data analysis,polls,data mining,surveys etc... R is an implementation of the S Programming Language.R was created by Ross Ihaka and Robert Gentlemen at the University of Auckland,New Zealand and currently developed by R development core team. *R Studio: R Studio is a free and open source IDE for R, a programming language for statistical computing and graphics.R Studio was founded by J J Allaire creator of the programming language Cold Fusion,Hadley Wickhalm is the chief scientist at R Studio. R Studio is available in open source and commercial editions.It runs on the Windows,Mac,Linux OS desktop. if you still have question or query you can ask me on below comment section or you can follow me on twitter and ask any thing on twitter. If you like my video Please Like,Share and Subscriber to my channel.Don't forget to press bell icon to get video in your inbox. Thanks for Watching...... R Programming Download Link:https://cran.r-project.org/bin/windows/base/ R Studio Download Link:https://www.rstudio.com/products/rstudio/download/ Facebook Link: https://facebook.com/riteshvshah11 Twitter Link: https://twitter.com/riteshtechnow
Views: 202 Ritesh Techno World
Getting YouTube Data with R | User Network and Sentiment Analysis from Comments
 
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Note: Package "SocialMediaLab" is now renamed as "vosonSML" R File: https://goo.gl/4gpVdp YouTube data File: https://goo.gl/2p8V9L Includes, - Obtaining Google developer API key - Collecting data using YouTube video IDs - Saving and reading YouTube data file - Creating user network - Histogram of node degree - YouTube user network diagram - Sentiment analysis of YouTube user comments - Obtaining sentiment scores - Sentiment visualization 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: 8933 Dr. Bharatendra Rai
Install RStudio on Windows - Data Analysis with R
 
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This video is part of an online course, Data Analysis with R. Check out the course here: https://www.udacity.com/course/ud651. This course was designed as part of a program to help you and others become a Data Analyst. You can check out the full details of the program here: https://www.udacity.com/course/nd002.
Views: 21763 Udacity
K-Means Clustering Algorithm - Cluster Analysis | Machine Learning Algorithm | Data Science |Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) This Edureka k-means clustering algorithm tutorial video (Data Science Blog Series: https://goo.gl/6ojfAa) will take you through the machine learning introduction, cluster analysis, types of clustering algorithms, k-means clustering, how it works along with an example/ demo in R. This Data Science with R tutorial video is ideal for beginners to learn how k-means clustering work. You can also read the blog here: https://goo.gl/QM8on4 Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #kmeans #clusteranalysis #clustering #datascience #machinelearning 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). Instagram: https://www.instagram.com/edureka_learning/ 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. "
Views: 77071 edureka!
Apriori Algorithm with R Studio
 
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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: 8116 Varun Joshi
Hands-on dplyr tutorial for faster data manipulation in R
 
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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: 178299 Data School
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!
Random Forest in R - Classification and Prediction Example with Definition & Steps
 
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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: 72146 Dr. Bharatendra Rai
Partitioning data into training and validation datasets using R
 
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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: 33584 Dr. Bharatendra Rai
Weka 3 data mining java tool - Tutorial 01 (download, install, and test run)
 
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http://www.zaneacademy.com | download source code @ http://sites.fastspring.com/zaneacademy/product/all | Download, install, & test run Weka 3 data mining java tool
Views: 13852 zaneacademy
R Tutorial - 5 - Know About R Studio Interface For Beginners [5/13]
 
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R Tutorial - 5 - Know About R Studio Interface For Beginners [5/13] Official Link :- https://cran.r-project.org/ https://www.r-project.org/ Download R Studio:- https://www.rstudio.com/products/rstudio/download/ In this video , We will learn about R Studio Interface. After this video, you will understand and start to work with R Studio in more effective way. 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: 267 Nandan Priyadarshi
Live Session for Business analytics and data mining Modeling using R
 
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Live Session for Business analytics and data mining Modeling using R Prof. Gaurav Dixit Department of Management Studies Indian Institute of Technology Roorkee Roorkee - 247 667
Views: 261 Live Session IITR
Data science : R Predictive analytics with Decision Tree
 
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R - Decision Tree. Advertisements. Decision tree is a graph to represent choices and their results in form of a tree. The nodes in the graph represent an event or choice and the edges of the graph represent the decision rules or conditions. It is mostly used in Machine Learning and Data Mining applications using R. Video list in Tamil https://goo.gl/Pz2BPn Video list in English https://goo.gl/26f6T1 Data Download - http://atozknowledge.com/downloads/r/data1.csv YouTube channel link www.youtube.com/atozknowledgevideos Website http://atozknowledge.com/ Technology in Tamil & English
Views: 1285 atoz knowledge
Automated Web Scraping in R: Writing your Script
 
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In this video tutorial you will learn how to write standard web scraping commands in R, filter timely data based on time diffs, analyze or summarize key information in the text, and send an email alert of the results of your analysis. Packages used: rvest - for downloading website data lubridate - for cleaning, converting date-time data stringr - for cleaning text in r LSAfun - for ranking/summarizing the text Recommended for medium level R users. See our Introduction to R to get up-to-speed with basic R commands: https://tutorials.datasciencedojo.com/introduction-to-r/ The R full script for this video tutorial can be accessed here: https://code.datasciencedojo.com/datasciencedojo/tutorials/tree/master/web_scraping_R-master Link to Website used: https://www.marketwatch.com/story/bitcoin-jumps-after-credit-scare-2018-10-15 To see an example of web scraping timely political news events and commentary from Reddit, check out Data Science Dojo's blog tutorial on KDnuggets: https://www.kdnuggets.com/2018/12/automated-web-scraping-r.html -- Learn more about Data Science Dojo here: https://hubs.ly/H0hCZyj0 Watch the latest video tutorials here: https://hubs.ly/H0hCZyz0 See what our past attendees are saying here: https://hubs.ly/H0hCYCs0 -- 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://twitter.com/DataScienceDojo Connect with Us: https://www.linkedin.com/company/data-science-dojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo/ Vimeo: https://vimeo.com/datasciencedojo
Views: 7787 Data Science Dojo
R - Classification Trees (part 1 using C5.0)
 
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Classification Trees are part of the CART family of technique for prediction. Here we deploy the C5.0 algorithm in R to learn a classification tree model on the 'iris' data set available in all R installations.
Views: 59477 Jalayer Academy
Downloading Data from Google Trends And Analyzing It With R
 
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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: 23870 Manuel Amunategui
Social Media Analytics - Twitter Analysis in R (Example @realDonaldTrump)
 
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Case Study: Donald Trump Twitter (@realDonaldTrump) Analysis Click here to see how to link to Twitter database: https://www.youtube.com/watch?v=ebutXE4MJ3Y (UPDATED) Twitter Analytics in R codes Powerpoint can be downloaded at https://drive.google.com/open?id=0Bz9Gf6y-6XtTNDE5a2V0dXBjWVU How to process tweets with emojis in R? What if there is a gsub utf-8 invalid error? (Example Solution) 1. Use gsub to replace the emojis (utf-8 coding) codes. 2. See slide 7 in the Powerpoint file above.
Views: 7442 The Data Science Show
Sample Data in R | Sample datasets for data mining | sample data sets for statistical analysis
 
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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
Image Recognition Using Google Cloud Vision API in R | RoogleVision
 
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Image Recognition Using Google Cloud Vision API in R | RoogleVision Download R File here: https://goo.gl/i2rxJg 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: 5888 Dr. Bharatendra Rai
How to Download and Install Orange Data Mining Tool
 
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Reach out to us on www.techontea.com Subscribe to our Channel and Follow us on Social Media to stay updated How to Download and Install Orange Data Mining Tool 1. Download Orange Tool Link: https://orange.biolab.si/download/ 2. Install Orange Data Mining Tool Installation Done , Now you can open any database like Excel DB or any other Database and use Orange Tool Documents from Orange: https://orange.biolab.si/docs/ About Orange Tool: Orange is an open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for explorative data analysis and interactive data visualization, and can also be used as a Python library. Subscribe and Stay connected with us! 👉 Subscribe on YouTube: https://goo.gl/hJCieo 👉 Like us on Facebook: https://www.facebook.com/techontea 👉 Follow us on Twitter: https://twitter.com/techontea 👉 Follow us on Instagram: https://www.instagram.com/techontea You can always ask for a solution buy just filling your query details on www.techontea.com We will make sure to provide you your solution as soon as possible About: Tech on Tea a show where we talk about Blogging, WordPress, SEO, Entrepreneurship. IT Solutions and give resolutions and tips for your IT Requirements. If you are looking for any technology solutions, learning new things and want to get a standard resolutions for your issues than, this channel is perfect fit for you. Subscribe to stay updated with channel updates.
Views: 195 Tech on Tea
First time Weka Use : How to create & load data set in Weka : Weka Tutorial # 2
 
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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: 47202 HowTo
36. Data mining Reshape data reshape2 package - Data Analysis with R
 
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Don't Forget for Subscribe dan Active Notification Because That's Free ## Link Subscribe ## https://www.youtube.com/channel/UCZXLo6rNWmc317Hsx25qTbA?view_as=subscriber?sub_confirmation=1 ## You Can Download Complete Course Video on This link ## https://lwt.pw/918vdgPCM ## You Can See Detail Course on This link ## https://lwt.pw/EWVXhQM
Views: 10 TUTOR SC
Text Analytics with R | How to Visualize Twitter Followers using twitterMap | Twitter Data Mining
 
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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