Python code for visualizing Gradient Descent optimization paths with animated contours. Demonstrates two strategies: fixed and optimal step sizes. Includes Fibonacci search for step size and data saved with Pickle.

Applying Gradient Descent from scratch and analyzing the effect of changing the number of epochs and learning rate on the mean square error (MSE).

Gradient Descent implementation for Multiple linear regression

About my Machine Learning Class Assignments.