Overview This project develops a machine learning model to predict customer churn for a telecommunications company using the Telco Customer Churn dataset. The goal is to identify customers likely to ...

This project explores binary and multiclass classification on a subset of the MNIST handwritten digits dataset, focusing on digits 0, 1, and 2. The core objective is to implement logistic regression ...