A hands-on Udemy course by Kirill Eremenko that walks through many machine learning models using Python and R, with practical implementation focus. It covers libraries such as pandas, numpy and sklearn.

Commenters call it one of the best Udemy courses they've taken and praise its engaging instructors and practical, implementation-first approach that is easy to follow with minimal Python experience.

On Reddit (2)

1. Strongly recommendsjatsignworkr/learnmachinelearning2017in “Learn Python For Data Science And Machine Learning With Jose Portilla”

   I took this course and am currently also working through Machine Learning A-Z: Hands on Python & R by Kirill Eremenko, as well as several other courses from Udemy in related subjects. "Learn Python" and "Machine Learning A-Z" are two of the best courses I've taken on Udemy. The instructors are…

2. Recommendsl0gr1thm1kr/learnmachinelearning2017in “I would like to start some ML coding using Python sooner rather than later suggestion book, tutorial etc.”

   I find the best way to move forward is implementing models with real/tangible results. For this, I'd recommend the Udemy course Machine Learning A-Z: Hands on Python & R in Data Science. pros: * teaches you some of the basics of the important Python libraries pandas, numpy and sklearn * implement…

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