Learn Machine Learning Algorithms From Scratch With Python
Written by Nikos Vaggalis   
Monday, 31 October 2022

Learn to implement 10 Machine Learning algorithms from scratch with just Python and NumPy. A library hides the implementation details and if you're really looking to understand what goes behind the covers and understand how things work, this course has you covered.


This is a course by AssemblyAI where you don't rely on libraries like Pytorch or Tensorflow to implement the Machine learning algorithms but you implement them yourself from scratch with nothing but Python and NumPy.

Those algorithms that are going to be implemented are:

  • K-Nearest Neighbors

  • Linear Regression

  • Logistic Regression

  • Decision Trees

  • Random Forest

  • Naive Bayes

  • PCA

  • Perceptron

  • SVM

  • K-Means

You need basic Python, object oriented programming and the basics of NumPy to follow along as it's a practical course with a lot of code.

However scary math formulas are referred too.If you do have experience with Andrew Ng's deep learning courses which require high school level math and teach the basics of the notations  you should not face any issues even on that part.

All in all, it's a very interesting course bearing a fresh look at Machine Learning from an other perspective.All the accompanying code can be found on the course's Github repo.


More Information

Youtube playlist


Related Articles

Fast.ai's Practical Deep Learning for Coders Has Been Updated

Take Stanford's Natural Language Understanding For Free


To be informed about new articles on I Programmer, sign up for our weekly newsletter, subscribe to the RSS feed and follow us on Twitter, Facebook or Linkedin.


Disney Uses AI To Re-Age Faces

Disney Research has a new visual effects tool that can make actors look older or younger for movies without needing to collect longitudinal data using photographs. 

EuroPython's 2022 Sessions Are Now Online

The talks presented at the 21st annual EuroPython conference are now available for free on YouTube. Topics ranged from Code and Tech to Social and Career advice.

More News





or email your comment to: comments@i-programmer.info