EN.605.649 (81): Machine Learning: Assessing Model Performance: Impact of Learning Rates Across Various Models and Datasets
This project outlines the steps taken in order to build several different prediction networks - logistic regression, linear network and forward feed neural networks from scratch
These networks are trained on 3 classification datasets and 3 regression datasets to compare the differing networks and how well they can predict and generalize different types of data
python main.py
See the write up writeup.pdf