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salary-prediction

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Project on analysing NBA basketball players' statistics relation with their salaries and prediction salary for the upcoming year. Includes web scrapping part done in python, filtering, mutating, and transforming the data, making correlation table between players' statistics and average salaries and making predictions for upcoming year.

  • Updated Dec 7, 2022
  • Python

This project demonstrates the use of both Linear and Polynomial Regression models to predict salaries based on the position level of employees. By using a dataset that contains position levels and their corresponding salaries, this project showcases the differences between linear and polynomial models in fitting data and making predictions.

  • Updated Aug 21, 2024
  • Python

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