This is the repo containing our code for the Machine Learning book club.
All lecture materials: Cornell Supervised ML
- Machine Learning Set Up/Experiments
- k-Nearest Neighbors / Curse of Dimensionality
- Perceptron/Proof of Convergence
- Estimating Probabilities from data
- Bayes Classifier and Naive Bayes
- Logistic Regression
- Gradient Descent (and Beyond)
- Linear Regression
They can be found in one drive.