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  • 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