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This project implements a Logistic Regression modelšŸ”¢using two different datasets. It demonstrates both non-regularized and regularized logistic regression techniques to classify data based on given features.

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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.

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This project implements a Logistic Regression modelšŸ”¢using two different datasets. It demonstrates both non-regularized and regularized logistic regression techniques to classify data based on given features.

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