Logistic Regression Implementation: This repository contains a custom implementation of Logistic Regression in Python, alongside a comparison with scikit-learn's Logistic Regression on the Breast Cancer dataset.
Overview: Logistic Regression is a fundamental algorithm used for binary classification tasks. This implementation provides a basic logistic regression model along with a comparison with scikit-learn's implementation.
Features: Custom Logistic Regression class with fit and predict methods. Gradient descent optimization for parameter updates. Comparison with scikit-learn's Logistic Regression.