Machine Learning for all (ML4all)

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 3 forks. 3 stars. 0 open issues. Recent commits: Update, GitHub Update, GitHub Merge branch 'master' of, Vanessa Gómez Verdejo actualizando feature selection, Vanessa Gómez Verdejo