Supervised Learning Project 1

This project focuses on implementing different regression models on toy datasets. The source code is provided in the two Jupyter Notebooks part_1.ipynb and part_2.ipynb.

Report.pdf provides a detailed explanation of this entire project.

results contains the plots generated for all experiments performed.

Requirements

The code was run in Python 3.8.5. The following libraries were used:

• NumPy == 1.18.5
• Seaborn == 0.11.0
• MatPlotLib == 3.3.2
• Pandas == 1.1.2