R Data Analysis Projects
R offers a large variety of packages and libraries for fast and accurate data analysis and visualization. As a result, it is one of the most popularly used languages by data scientists and analysts, or anyone who wants to perform data analysis. In this book, we show you just how to do that - with the help of practical implementations of real-world use cases.
Offered by
Difficulty Level
Intermediate
Completion Time
12h12m
Language
English
About Book
Who Is This Book For?
If you are looking for a book that takes you all the way through the practical application of advanced and effective analytics methodologies in R, then this is the book for you. A fundamental understanding of R and the basic concepts of data analysis is all you need to get started with this book.
R Data Analysis Projects
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h12m total length
Building a Recommender System –I – A step by step approach to build Association Rule Mining
Building a Recommender System II- Fuzzy Logic induced Content Based Recommendation
Building a Recommender System III – Collaborative Filtering based recommendation systems
Taming time series data – Time Series analysis using Recurrent Neural Networks
Text Sentiment Classification using Kernel Density Estimates
Record Linkage - Stochastic and Machine Learning Approaches
Streaming data Clustering analysis in R
Analyze and understand networks using R
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