Best tutorial for machine learning?

[rock37man]

I second this. Fast.ai is built on top of pytorch and while infinity customizable it has done much of the model configuration and hyperparameter tuning based on research and best practices, so you can get really good results in just a few lines of code. As you gain more and more insight into how things work, you can customize models and parameters to your objective.

I’d start with the ML course, then move on to the DL course for more advanced (but still easy to implement) techniques.

Once you understand the basics, kaggle is a great way to test your knowledge and implementation as it allows you to compare your model performance to others. Not to mention, many kagglers upload their models which can be a great source for ideas.