This repository includes my machine learning practice on the Google Colab platform. There are 4 major projects that are included in this repository:
- KNN and Decision Tree classifiers
The first project focuses on implementing the KNN and Decision Tree classifiers from scratch. These two classifiers are implemented only using NumPy and as a class. Following the implementation, several experiments are run in order to observe the accuracy of the classifiers. The datasets that are used for these experiments are breast_cancer_wisconsin.csv and hepatitis.csv. These experiments include various runs with different hyperparameters, hyperparameter tuning and decision boundary visualization.