Machine Learning

Source code from Code For Tomorrow's Machine Learning course

Difficulty Level

Source code is organized under 2 difficulty levels:

1. 1_beginner
2. 2_intermediate

Chapters

Under each of the 2 difficulty levels, source code is further divided by chapter.

Beginner

1. chapter1 Introductory Requirements
2. chapter2 Overview
3. chapter3 Numpy, Scipy, and Matplotlib
4. chapter4 Training and Testing
5. chapter5 Simple Linear Regression
6. chapter6 Intro to Evaluation Metrics
7. chapter7 Multiple Linear Regression
8. chapter8 Polynomial Regression

Intermediate

1. chapter1 Introduction to Classification
2. chapter2 Logistic Regression
3. chapter3 K-Nearest Neighbors
4. chapter4 Evaluation Matrics in Classification
5. chapter5 Decision Trees
6. chapter6 Support Vector Machines