Source code from Code For Tomorrow's Machine Learning course
Source code is organized under 2 difficulty levels:
1_beginner
2_intermediate
Under each of the 2 difficulty levels, source code is further divided by chapter.
chapter1
Introductory Requirementschapter2
Overviewchapter3
Numpy, Scipy, and Matplotlibchapter4
Training and Testingchapter5
Simple Linear Regressionchapter6
Intro to Evaluation Metricschapter7
Multiple Linear Regressionchapter8
Polynomial Regression
chapter1
Introduction to Classificationchapter2
Logistic Regressionchapter3
K-Nearest Neighborschapter4
Evaluation Matrics in Classificationchapter5
Decision Treeschapter6
Support Vector Machines