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..
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Exercise 1 - Linear Regression
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Exercise 2 - Logistics Regression.ipynb
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Exercise 3 - Multi-class Classification and Neural Networks
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Exercise 4 - Neural Networks Learning
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Exercise 5 - Regularization, Bias vs Variance
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Exercise 6 - Support Vector Machines
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Exercise 7 - K-means Clustering and PCA
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Exercise 8 - Anomaly Detection and Recommender Systems
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.Applied Machine Learning TextBook.pdf.icloud
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.gitignore
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ML-Study-Path.md
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Readme.md
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