Mini Project of Machine Learning

This project implements linear regression on Parkinson’s disease data (analytical solution and mini‑batch stochastic gradient descent) and logistic regression on the Wisconsin Diagnostic Breast Cancer data (using gradient descent and mini‑batch stochastic gradient descent). All algorithms are written in Python.