Introduction to Machine Learning @ HUJI
- ex1: playing with some data using linear algebra and probability
- ex2: predicting house prices using linear regression
- ex3: half space classification: Perceptron & LDA
- ex4: AdaBoost algorithm
- ex5: kFold cross validation & regularization
- ex6: MNIST feedforward neural net (from scratch)