Machine Learning Lab Projects

This repository contains the developemnt of Machine Learning Projects as a part of the ML Lab Course in the Data Analytics master program at University of Hildesheim.

Implementations and Tasks

1. Linear Regression with Normal Equations, Gradient Descent and Stochastic Gradient Descent
2. Regrularization and Hyperparameter Tuning
3. Linear Classification/Logistic Regression
4. Generalized Linear Models
5. Polynomial Regression
6. Nearest Neighbors (KNN)
7. Decision Trees (Random Forest and Gradient Boosted)
8. Support Vector Machine (SVM)
9. Clustering (K-Means)
10. Recommender Systems