GitHub - ardyh/ml-from-scratch-python: Algorithms from scratch: Decision Tree, Perceptron, K-means and Agglomerative clustering

A campus project of me and my 3 teammates:

of implementing supervised learning algorithms from scratch, in Python

Tubes 1B Folder contains my team's work on Decision Tree algorithm. We applied the ID3 and C4.5 variation

Tubes 1C Folder contains my team's work on Perceptron algorithm

Tubes 1D Folder contains my team's work on applying cross validation to evaluate our model's performance

Tubes 2A Folder contains my team's work on K-Means Clustering and Agglomerative Clustering algorithm