Implementation and use cases of machine learning algorithms

This repository contains implementations of machine learning algorithms and models using low-level libraries (numpy, pandas, scipy)

• AdaBoost
• Decision Tree
• Gradient Boosting
• K Nearest Neighbors
• Lineral and Logistic Regression
• Neural Network
• Random Forest