Hello Community Members,
I started directly on the “Supervised Machine Learning: Regression and Classification” course and then went on to the “AI for Everyone” course . Due to prior programming experience in Java I could understand to some extent the python code and exercises. However I realized that it would have been better to take a Python course prior and have started the “Python for Everyone” course now.
My question is whether there is another Python course I should take before enrolling for “Machine Learning Specialization” and the “Deep Learning Specialization” courses ? While the “Python for Everyone” covers basic Python concepts I was wondering whether I need to take separate courses (if any) for topics such NumPy , Pandas , Matplotlib , Scikit-Learn to get more hands-on on these libraries/areas ? If yes please share recommended courses for the same or any other recommendations on my learning path / next steps.
Thanks a lot.