in Kirill Eremenko and Hadelin de Ponteves
Machine Learning A-Zâ„¢: Hands-On Python & R In Data Science

This course covers machine learning algorithms such as linear regression, logistic regression, k-nearest neighbors, decision trees, and random forests. Practical implementation is done using Python and R. The course provides over 40 hours of video, 19 articles, and 178 downloadable resources.