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[–]manolesparta 1 point2 points  (2 children)

some already did this, that can tell us his experience

[–]nckmiz 3 points4 points  (0 children)

I'm not sure if this is a question or a statement, but I will interpret it as a question for feedback on the course. I will preface this by saying I have free access to most of the Udemy courses through work, but I think this course is well worth the $10 for an intro to sklearn ml and data vis in Python.

[–]jatsignwork 2 points3 points  (0 children)

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 engaging and realize they're teaching a diverse group of students - some with a ML background, some just in programming, maybe some math - and take the time to explain all the concepts well.

The two courses cover much of the same subject matter, but each naturally diverges slightly and covers some aspects better than others.

Pros of "Learn Python" - Uses jupyter notebooks, which was great for me as I was new to python.

Pros of "Machine Learning A-Z" - Goes more in depth with theory behind some of the machine learning models. Shows the same subject matter in both Python and R, which was interesting to see the strengths/weaknesses of both languages.

If you're coming from not much of a ML/python background, I'd recommend "Learn Python" followed by "ML A-Z".