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Programming Exercise 1 - Linear Regression.ipynb
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Programming Exercise 2 - Logistic Regression.ipynb
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Programming Exercise 3 - Multi-class Classification and Neural Networks.ipynb
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Programming Exercise 4 - Neural Networks Learning.ipynb
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Programming Exercise 5 - Regularized Linear Regression and Bias v.s. Variance.ipynb
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Programming Exercise 6 - Support Vector Machines.ipynb
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Programming Exercise 7 - K-means Clustering and Principal Component Analysis.ipynb
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Programming Exercise 8 - Anomaly Detection and Recommender Systems.ipynb
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