This repository contains machine learning (and related) algorithms for data science that I've rewritten for educational purposes.
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At the present moment, I've writted codes for Decision Trees, Linear Regression, KMeans and KNN.
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The project includes a video series (pt-br) explaning how the these algorithms work. The first available video is the explaining KNN.
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The models are made using object oriented programing (OOP), in a similiar fashion to the
sklearn
modules. -
I'm planning to add Logistic Regression, Random Forest and tools such as Cross Validation in the future.