Machine Learning Algorithms for Data Scientists: An Overview

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Last edited by statbooks
October 16, 2021 | History

Machine Learning Algorithms for Data Scientists: An Overview

  • 0 Ratings
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This book provides an overview of Machine Learning models, algorithms and its application in different fields through the use of R Software. It also provides short introduction to R software for the benefit of users.

Publish Date
Pages
102

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Edition Availability
Cover of: Machine Learning Algorithms for Data Scientists: An Overview
Machine Learning Algorithms for Data Scientists: An Overview
2021, Vinaitheerthan Renganathan
Paperback

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Book Details


Table of Contents

Chapter 1: Introduction
Chapter 2: R Software
Chapter 3: Data Preprocessing
Chapter 3: Decision Tree Algorithm
Chapter 4: Random Forest Algorithm
Chapter 5: Support Vector Machine Algorithm
Chapter 6: Naïve Bayes Algorithm
Chapter 7: Artificial Neural Network Algorithm
Chapter 8: Clustering Algorithm
Chapter 9: Text mining algorithms
Chapter 10: Image processing and classification

The Physical Object

Format
Paperback
Number of pages
102

ID Numbers

Open Library
OL35282812M
ISBN 13
9789354737695

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History

Download catalog record: RDF / JSON
October 16, 2021 Edited by statbooks Edited without comment.
October 16, 2021 Created by statbooks Added new book.