Applied Supervised Learning with R
Applied Supervised Learning with R will make you a pro at identifying your business problem, selecting the best supervised machine learning algorithm to solve it, and fine-tuning your model to exactly deliver your needs without overfitting itself.
Offered by
Difficulty Level
Intermediate
Completion Time
16h44m
Language
English
About Book
Who Is This Book For?
This book is specially designed for beginner and intermediate-level data analysts, data scientists, and data engineers who want to explore different methods of supervised machine learning and its use cases. Some background in statistics, probability, calculus, linear algebra, and programming will help you thoroughly understand and follow the concepts covered in this book.
Applied Supervised Learning with R
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 16h44m total length
R for Advanced Analytics
Exploratory Analysis of Data
Introduction to Supervised Learning
Regression
Classification
Feature Selection and Dimensionality Reduction
Model Improvements
Model Deployment
Capstone Project - Based on Research Papers
Related Resources
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