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Basic use of Supervised Learning algorithms

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intrawebgoat/NBA-Predictions

 
 

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Purpose of the repository

This repository contains an analysis of the NBA based on a variety of datasets. With the help of supervised learning algorithms, we are testing/experimenting on these datasets and try to predict some of the most insane things.

Main Packages

-numpy -pandas -sklearn

Main algorithms

Classification -Logistic Regression -KNN -SVMs -Decision Trees -Random Forest

Regression -Linear Regression -Support Vector Regression -Lasso Regression -Decision Trees -Random Forest

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Basic use of Supervised Learning algorithms

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  • Python 100.0%