Vanilla Gradient Descent

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Vanilla Gradient Descent Vectorized!

This project stands as a tutorial on how to vectorize functions. Vectorizing is a way were we remove the procedural way of doing calculations via loop, and taking advantage of matrix multiplication to do this.

TODO:

1. Add stochastic gradient descent
2. Add Mini Batch Gradient Descent
3. Test on larger test sets

Note: Still learning to create a proper function and class for machine learning, will continuously reiterate this projects to make it up to date with the my knowledge