Practical Machine Learning with R
Practical Machine Learning with R gives you the complete knowledge to solve your business problems - starting by forming a good problem statement, selecting the most appropriate model to solve your problem, and then ensuring that you do not overtrain the model.
Offered by
Difficulty Level
Intermediate
Completion Time
13h52m
Language
English
About Book
Who Is This Book For?
If you are a data analyst, data scientist, or a business analyst who wants to understand the process of machine learning and apply it to a real dataset using R, this book is just what you need. Data scientists who use Python and want to implement their machine learning solutions using R will also find this book very useful. The book will also enable novice programmers to start their journey in data science. Basic knowledge of any programming language is all you need to get started.
Practical Machine Learning with R
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 13h52m total length
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
Related Resources
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