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R Data Analysis Projects

You're reading from R Data Analysis Projects Build end to end analytics systems to get deeper insights from your data

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781788621878

Length 366 pages

Edition 1st Edition

Languages

R

Tools

ggplot

Concepts

Data Analysis

Author (1):

Gopi Subramanian

View More author details

Table of Contents (9) Chapters

Preface

1. Association Rule Mining

2. Fuzzy Logic Induced Content-Based Recommendation FREE CHAPTER

3. Collaborative Filtering

4. Taming Time Series Data Using Deep Neural Networks

5. Twitter Text Sentiment Classification Using Kernel Density Estimates

6. Record Linkage - Stochastic and Machine Learning Approaches

7. Streaming Data Clustering Analysis in R

8. Analyze and Understand Networks Using R

Preface

This book is for readers who want to leverage the R platform for their data analysis projects/problems. We introduce readers to different R packages for various data analysis purposes and help them use the right package for the right task. A complete project built from scratch in each chapter will help readers better understand building end-to-end predictive analytics solutions. This book covers a variety of topics, including building deep learning networks in R, graph mining, streaming data analysis, sentiment classification, and recommender systems.

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Authors (1)

Gopi Subramanian

Gopi Subramanian

Gopi Subramanian is a scientist and author with over 18 years of experience in the fields of data mining and machine learning. During the past decade, he has worked extensively in data mining and machine learning, solving a variety of business problems. He has 16 patent applications with the US and Indian patent offices and several publications to his credit. He is the author of Python Data Science Cookbook by Packt Publishing.

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