Additionally, the Machine Learning Crash Course Series from Berkeley is a good overall explainer of the concepts. https://ml.berkeley.edu/blog/2016/11/06/tutor

Additionally, the Machine Learning Crash Course Series from Berkeley is a good overall explainer of the concepts. https://ml.berkeley.edu/blog/2016/11/06/tutorial-1/ https://ml.berkeley.edu/blog/2016/11/06/tutorial-1/ I've had luck with a mixture of online courses like Datacamp (https://www.datacamp.com/ https://www.datacamp.com/) and finding projects to try on sites like Kaggle.