• Intro
• KNN
• Linear models
• Perceptron
• Multiclass Classification
• Gradient Descent
• Regularization
• Linear SVN
• Non Linear SVN
• DT
• NN
• CNN
• RNN
• Supervised VS Unsupervised Learning
• Encoders & Decoders
• PCA
• Clustering
• K-Means
• Expectation Maximization
• Spectral Clustering