Skip to content

Latest commit

 

History

History
3 lines (2 loc) · 493 Bytes

README.md

File metadata and controls

3 lines (2 loc) · 493 Bytes

MachineLearning-Prac2

I implemented a Logistic Regression model as part of the CSC312: Machine Learning course. In this project, I worked with two datasets to apply both non-regularized and regularized logistic regression. I implemented the model applied it to predict student qualifications for a national Olympiad based on their test scores. I also performed data preprocessing, visualization, and model evaluation to ensure the proper functionality of the logistic regression algorithm.