GitHub - agathebenichou/Machine-Learning-From-Data: CS3141 (graduate): Provides the theoretical basis for learning algorithms and learn about pros/cons of different approaches, from both a mathematical and a practical point of view

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CS3141 (graduate): Provides the theoretical basis for learning algorithms and learn about pros/cons of different approaches, from both a mathematical and a practical point of view

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
HW1- Linear Regression		HW1- Linear Regression
HW2 - Decision Trees		HW2 - Decision Trees
HW3 - Map Classifier		HW3 - Map Classifier
HW4 - Logistic Regression, Bayes, EM		HW4 - Logistic Regression, Bayes, EM
HW5 - Kernels, SVMs, PAC Learning		HW5 - Kernels, SVMs, PAC Learning
HW6 - KMeans Clustering		HW6 - KMeans Clustering
Machine-Learning-Syllabus.pdf		Machine-Learning-Syllabus.pdf

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CS3141 (graduate): Provides the theoretical basis for learning algorithms and learn about pros/cons of different approaches, from both a mathematical and a practical point of view

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