Practical Machine Learning with R
Define, build, and evaluate machine learning models for real-world applications
Publisher:Packt Publishing Limited
Paid access
|Sep 2024
Table of Contents
- An Introduction to Machine Learning
- Data Cleaning and Pre-Processing
- Feature Engineering
- Introduction to neuralnet and Evaluation Methods
- Linear and Logistic Regression Models
- Unsupervised Learning
PDF ISBN: 978-1-83855-284-8
Publisher: Packt Publishing Limited
Copyright owner: © 2019 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 416
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