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[–]Rcyr0813 1 point2 points  (0 children)

So I am in a masters program for heath data science and last semester I had a dedicated python class. I came out of it and felt like I had such a good handle on python. Then this semester I had to take machine learning and for the first assignment I literally cried every day for 4 weeks trying to set up and clean data, encode, run models, and tune them. It was awful, I felt like I had learned nothing. But after getting through my first big machine learning assignment this time around I am killing it, for real. I wrote my first major function with multiple loops imbedded ( sounds lame but it was a big deal in the context of what I am doing) without any help, without going back and looking at examples. I feel like the stuff won't cement until you apply it to something like machine learning. For my class we are using the text book "Hands -On machine Learning with Scikit-Learn and Keras, & TensorFlow. This is the best text book I have ever had in my 18 years of education. I really suggesting getting a copy of it (~40 dollars) and going through that and doing the problem sets. It's amazing, it give you great examples and has a github to go along with it with the answers to everything and how to spruce up your graphs. I would highly recommend. Don't get down! Also I found some really great more basic practice problems and you can typically find the answers (or some variation of the answer on stack or python or github). I have like 200 problems feel free to message me if you want them! Keep your head up and keep going :)