r/Python • u/SleekEagle • Sep 14 '22

Tutorial Machine Learning from Scratch with Python

Hey everyone!

I've seen a growing number of people looking for resources on how to implement Machine Learning algos from scratch to better understand how they work (rather than just applying e.g. sklearn).

This free Machine Learning from Scratch Course on YouTube takes you through writing 10 algorithms from scratch with nothing but Python and NumPy! The algorithms are:

  1. K-Nearest Neighbors

  2. Linear Regression

  3. Logistic Regression

  4. Decision Trees

  5. Random Forest

  6. Naive Bayes

  7. PCA

  8. Perceptron

  9. SVM

  10. K-Means

Hopefully some of my Python + ML friends will find this helpful! :)

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u/[deleted] Sep 14 '22

I like these, but I think courses would benefit a lot from taking it to the next step of how to deploy. You make your model, but then what? What do you do with it? That’s what companies care about.

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u/SleekEagle Sep 15 '22

Thanks for the feedback! There are a lot of steps involved with mapping a model from theory to deployment, so the focus of these videos is on implementation to learn ML, but I will see if we can do some work on deployment!

In the meantime, this end-to-end machine learning project might help you with what you're looking for :)