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Implementation of some basics of Machine Learning algorithm like gradient descent and normal equation method implemented in Rust

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About:

I made this project as a learning exercise to practice implementing the gradient descent and normal equation. I haven't found any bugs but I don't guarantee it has none.

Learning resources that I used:

Besides the libraries' documentations I used the content free online course provided by Stanford University and hosted by Coursera as a starting point.

Made with ❤️ by Arthur Guedes

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Implementation of some basics of Machine Learning algorithm like gradient descent and normal equation method implemented in Rust

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