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Machine Learning

I recently completed the Introduction to Machine Learning run by the Vector Institute with Juan Felipe Carrasquilla Álvarez as the professor. I really enjoyed the course and learned so much!

All the assignments have been explained and a link to the GitHub section provided. I also summarized my main lecture take aways!



This section has the best take aways from each assignment as opposed to just posting the whole assignment. I link to the GitHub repo that has all of the code posted.


Lecture Material

In the tabs below you will find a summary of the biggest take aways from each of the lectures. There was a lot of good material covered in the short time Professor Alvarez had but I just wanted to document the summary of the content.


Researched Extras

Along the way I spent time researching different aspects of the course that I wanted needed to know more about