mahdi-eth/Lofistic_regression_from_scratch

This is a custom implementation of a logistic regression model in Python, created from scratch. The model uses gradient descent optimization to learn the optimal weights and bias for binary classification tasks. It also includes L2 regularization to prevent overfitting, with the regularization strength controlled by the lambda hyperparameter.

Jupyter NotebookMIT