This repository does contain the codes for the book Statistics for Machine Learning book.
Every code snippet was written in both Python and R programming for ease.
You can purchase the book from Packt publishing or Amazon
Table of Contents
1. JOURNEY FROM STATISTICS TO MACHINE LEARNING
2. PARALLELISM OF STATISTICS AND MACHINE LEARNING
3. LOGISTIC REGRESSION VERSUS RANDOM FOREST
4. TREE-BASED MACHINE LEARNING MODELS
5. K-NEAREST NEIGHBORS AND NAIVE BAYES
6. SUPPORT VECTOR MACHINES AND NEURAL NETWORKS
7. RECOMMENDATION ENGINES
8. UNSUPERVISED LEARNING
9. REINFORCEMENT LEARNING