Notes From Machine Learning In A

About this book

Check out this book on Google Books: Machine Learning In Action

Machine Learning In Action

这份笔记原载于我的github上，出于复习的目的，上传到了简书。

Notes

Codes in this notebook are based on the provided codes from the book website. Minor modifications are made to apply these codes to Python 3.x.

Questions

Some of my questions here.

Contents

• Chapter 1 - Machine Learning Basics
• Chapter 2 - Classifying with k-Nearest Neighbors
• Chapter 3 - Splitting datasets one feature at a time: decision trees
• Chapter 4 - Classifying with probability theory: naive Bayes