Python Implementation of Andrew Ng's Machine Learning course
✅ Done:
- Exercise 1: Linear Regression
☑️ In Progress:
- Exercise 2: Logistic Regression
- Exercise 3: Multi-class Classification and Neural Networks
- Exercise 4: Neural Networks Learning
- Exercise 5: Regularized Linear Regression and Bias vs Variance
- Exercise 6: Support Vector Machines
- Exercise 7: K-Means Clustering and Principal Component Analysis
- Exercise 8: Anomaly Detection and Recommender System