Set of solutions for the exercises of the Machine Learning Course on Coursera.
All the solutions proposed have an optimized vectorized implementation, if you have a more efficient implementaion feel free to contact me.
Week 2
- Linear Regression
Week 3
- Logistic Regression
- Regularization
Week 4
- Multi-class Classification
- Neural Networks
Week 5
- Neural Networks Learning
Week 6
- Regularized Linear Regression
- Bias v.s. Variance
Week 7
- Support Vector Machines
Week 8
- K-means Clustering
- Principal Component Analysis
Week 9
- Anomaly Detection
- Recommender Systems