Python solutions for Andrew Ng's Machine Learning course.
- Exercise 1: Linear Regression
- Exercise 2: Logistic Regression
- Exercise 3: Multi-class Classification and Neural Networks
- Exercise 4: Neural Networks and Backpropagation
- Exercise 5: Regularized Linear Regression and Bias/Variance
Many thanks to Gerges Dib for transcribing the original assignments from MATLAB code to interactive Jupyter Notebooks.