Machine Learning with R
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README.md

Machine Learning: An Introductory Handbook Using R

author: Dr. Karen Mazidi

Materials to accompany the book. A sample chapter and link to the book is available on my blog: karenmazidi.blogspot.com

Table of Contents

  • Part 1 Introduction to Machine Learning and R
    • 1 - The Craft of Machine Learning
    • 2 - Learning R
    • 3 - Data Visualization in R
  • Part 2 Linear Models
    • 4 - Linear Regression
    • 5 - Logistic Regression
    • 6 - Naive Bayes
    • 7 - SVM
    • 8 - The Craft 2: Data Wrangling
  • Part 3 Searching for Similarity
    • 9 - Instance-Based Learning with kNN
    • 10 - Clustering
    • 11 - Decision Trees and Random Forests
    • 12 - The Craft 3: Feature Engineering
  • Part 4 Neural Networks
    • 13 - Neural Networks
    • 14 - Deep Learning
    • 15 - The Craft 4: Never Stop Learning
  • Part 5 Modeling the World
    • 16 - Bayes Nets
    • 17 - Markov Models
    • 18 - Reinforcement Learning
    • 19 - The Craft 5: Algorithms
  • Part 6 Appendices
    • 20 - Modern R
    • 21 - Big Data with R
    • 22 - Sampling Big Data