Collection of notebooks on machine learning topics: Introduction to Python and Numpy Classification: kNN, Logistic regression, Support Vector Machines Regression: kNN, Least Squares, Bayesian Inference, Gaussian Processes Clustering: k-means, Spectral Clustering Topic Modeling Most of the notebooks above rely on
Applications of Machine Learning
https://github.com/vgverdejo/Applications-of-Machine-Learning