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I wonder if you know some books or courses that will give examples of machine learning or deep learning algorithms that will be explained and written in python/numpy **without** using packages such as sklearn or tensorflow.
I am interested in some tutorials or explained code how to write algorithms such as decision trees (random forests, xgboost), support vector machines or neural networks with their training process as well.

So far I could find such materials only for simple linear regression. Most books just explains some theoretical basics and then just use these already made packages.

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This one would be interesting for you: https://www.manning.com/books/grokking-deep-learning

– pawel – 2020-08-17T18:30:46.060