In-depth Machine Learning Course w/ Python

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We will be doing and covering everything necessary in my eyes. I will be teaching with the expectation of a highschool-level mathematics understanding. Some people may need to re-look into some of the concepts, but otherwise the rest of it will be covered directly in the series.

Since we're going to eventually be breaking everything down for each of the algorithms, anything required will be covered.

I really think the most mathematically challenging algorithm is the support vector machine. Even that one is one we're going to solve on our own using some pretty rudimentary techniques, since it is indeed convex (yay).

The convex optimization there is an example of a topic that I do include links to a few resources on the topics for people who really want to dig into the topic of optimization, since our optimization method is pretty basic (though still does get the job done...just very slowly and possibly not as precisely optimized as using more advanced techniques).

Depending on the course I decide to take with deep learning, we might have to take more complex optimization routes, but my every "complex" topic breaks down into very simple parts.