If you are struggling to learn machine learning concepts from online tutorials and videos you may need a more structured path to learning.

Books help in this situation.

Grab books that walk you through theory and practical examples. Below are a few useful books.

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

by Aurélien Géron

One of the best books to get exposure to important machine learning concepts.

https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/

Python Machine Learning

This book combined with the previous one will provide you a strong foundation of the fundamentals of ML. https://www.oreilly.com/library/view/python-machine-learning/9781789955750/

Deep Learning with Python

by François Chollet

A great book to go deeper into the deep learning bits.

https://www.manning.com/books/deep-learning-with-python

All books require basic knowledge of Python. Topics may overlap but I found the books compliment each other in some areas. As you go through the content, spin up some notebooks, try the code, and try modifying the code to improve understanding. Take your time, have fun learning.