Here are my notebooks from office hours during the Emeritus and Columbia University Machine Learning class.
- Week 1: Regression and Python
- Week 2: Regularization and Regression
- Week 3: Bayesian Regression
- Week 4: Classification I
- Week 5: Logistic Regression
- Week 6: Classification II
- Week 7: Ensemble Methods
- Week 8: Clustering
- Week 9: Recommendation Systems I: Distance based methods
- Week 10: SVD for Recommendations and Text and Topic Models
- Week 11: PCA and Image Classification
- Week 12: Coronavirus Data, Map, and ARIMA Model