• First assignment: Implementing linear regression
• Second assignment: Implementing logistic regression
• Third assignment: Implementing classification of digits using one vs all logistic regression method and an already trained neural network in the second part
• Forth assignment: Implementing classification of digits by training a simple neural network
• Fifth assignment: Regularized linear regression and bias/variance. Seeing how the number of training examples and choice of regulariztion parameter affect the training and validation error.
• Sixth assignment: Support Vector Machines algorithm
• Seventh assignment: K-means Clustering Algorithm and Principal Component Analysis
• Eighth assignment: Anomaly Detection and Recommender Systems