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Examples and Explanations of how to code Machine Learning Algorithms from Scratch
Jupyter Notebook Python
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equations
supervised_learning
tutorials
utils
Bayesian Linear Regression.ipynb
Neural Network for Binary Classification.ipynb
README.md
linear_regression.py

README.md

Here are a few examples of machine learning algorithms implemented from scratch including Linear Regression, Bayesian Regression, and Neural Networks.

See the jupyter notebooks included to see how the algorithms are implemented

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