Towards understanding Machine Learning theory in 69 days :)
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Updated
Oct 2, 2024
Towards understanding Machine Learning theory in 69 days :)
Notes prepared for seminars, compiled from books, or taken in classes are included in this repository. There might be some notes prepared by other seminar participants, which are labelled accordingly.
AI labs - solutions
Implementation of a simple Decision Tree Classifier, entirely made in Swift
A classified list of meta learning papers based on realm.
My personal projects of re-learning machine learning and deep learning algorithms
Learn the theory, math and code behind different machine learning algorithms and techniques.
Reproducing the results in "Implicit Regularization in ReLU Networks with the Square Loss" using Matlab
ML course project: investigation on common perceptions of same neural network model with different random seed
📓 Chapter summaries adapted from the textbook "Understanding Machine Learning"
Machine Learning Algorithms from scratch
The homework assignments of 'Machine Learning' from Stanford University in Coursera
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