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You're reading from Applied Supervised Learning with R Use machine learning libraries of R to build models that solve business problems and predict future trends

Product type Paperback

Published in May 2019

Publisher

ISBN-13 9781838556334

Length 502 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Jojo Moolayil

Karthik Ramasubramanian

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Table of Contents (12) Chapters

Applied Supervised Learning with R

Preface

1. R for Advanced Analytics FREE CHAPTER

2. Exploratory Analysis of Data

3. Introduction to Supervised Learning

4. Regression

5. Classification

6. Feature Selection and Dimensionality Reduction

7. Model Improvements

8. Model Deployment

9. Capstone Project - Based on Research Papers

Appendix

Applied Supervised Learning with R

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Authors: Karthik Ramasubramanian and Jojo Moolayil

Technical Reviewer: Pulkit Khandelwal

Managing Editor: Vishal Mewada

Acquisitions Editor: Aditya Date

Production Editor: Shantanu Zagade

Editorial Board: David Barnes, Mayank Bhardwaj, Ewan Buckingham, Simon Cox, Mahesh Dhyani, Taabish Khan, Manasa Kumar, Alex Mazonowicz, Douglas Paterson, Dominic Pereira, Shiny Poojary, Erol Staveley, Ankita Thakur, Mohita Vyas, and Jonathan Wray

First Published: May 2019

Production Reference: 1310519

ISBN: 978-1-83855-633-4

Published by Packt Publishing Ltd.

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