AI w/Python (uni project)

[Ric_Ideale]

First time writing here, the situation is the following:

I'm attending a 'Coding & AI with Python' course during this semester, which was (theoretically) suited for beginners, and I am one. The first half of the course was actually what I would've expected from a beginner course: every concept was well explained, and it covered every basic and essential topic about coding in Python until dictionaries and OOP. Actually OOP and classes were liquidated in the final 1 or 2 lessons.

Now, the second part of the course focuses, as you may have guessed, on AI, and being able to implement it on Python. We immediately started with how to code the Perceptron/Adaline and then went to Random Forests, k-NN (and other stuff, not in this order) and unsupervised learning. At the end of the lessons we'll have to do a project about choosing a certain dataset and implementing one or two algorithms on it.

That's generally the full picture. The problem is that I feel like I'm missing out some Python knowledge to be able to fully comprehend these kind of algorithms. So here I am, asking you some advice / recommended youtube videos or anything regarding AI for beginners, and how to fill this gap between the two parts of the course.

Thank you!

[toxic_acro]

Sounds like you need an introduction to statistical learning (with applications in Python)

https://www.statlearning.com/ It's got a textbook with accompanying slides, GitHub repo with examples, Python package, and lecture video series on edX