Machine Learning From Scratch

Python NumPy implementations of some of the most common Machine Learning models and algorithms from scratch

Algorithms Implemented

1. k-Nearest Neighbors Classification
2. Naive Bayes Classification
3. Decision Tree Classification
4. Gaussian Process Regression
5. k-Means Clustering

Dataset Used

1. Enron Spam Email Classifier
2. MNIST Handwritten Digits Dataset