ML_Algorithms_from_Scratch_in_Python

This is where I store the ML Algorithms I've implemented from scratch with numpy in Python.

In each folder, look at:

problems.md for a report on some of my experiments and open response questions I've answered
src for the code I wrote to implement the algorithm from scratch
tests for the automated tests I had to pass as part of the EECS 349: Machine Learning course at Northwestern University.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
ML - Convolutional Networks and Text Classification with GloVe Embeddings		ML - Convolutional Networks and Text Classification with GloVe Embeddings
ML - Decision Trees		ML - Decision Trees
ML - Deep Learning		ML - Deep Learning
ML - Gradient Descent		ML - Gradient Descent
ML - K Nearest Neighbors		ML - K Nearest Neighbors
ML - Kmeans & Gaussian Mixture		ML - Kmeans & Gaussian Mixture
ML - Polynomial Regression		ML - Polynomial Regression
ML - Reinforcement Learning		ML - Reinforcement Learning
Video Presentation - Deep Gaussian Mixture Models		Video Presentation - Deep Gaussian Mixture Models
README.md		README.md

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