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
Here you can find material of some of my courses https://github.com/vgverdejo/Applications-of-Machine-Learning 2 forks. 3 stars. 0 open issues. Recent commits: Update README.md, GitHub Update README.md, GitHub Merge branch 'master' of https://github.com/vgverdejo/Teaching-activities, Vanessa Gómez Verdejo actualizando feature selection, Vanessa Gómez Verdejo