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Baseball Players Salary Prediction Project with Machine Learning (Regression Techniques)

The aim of the project is to establish regression models and minimize error scores after exploratory data analysis, feature engineering and data preprocessing on the Hitters dataset, which includes statistics and salary information of baseball players.

Explanation

Major League Baseball Data from the 1986 and 1987 seasons.

Source of Dataset

This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. This is part of the data that was used in the 1988 ASA Graphics Section Poster Session. The salary data were originally from Sports Illustrated, April 20, 1987. The 1986 and career statistics were obtained from The 1987 Baseball Encyclopedia Update published by Collier Books, Macmillan Publishing Company, New York.

About Dataset

A data frame with 322 observations of major league players on the following 20 variables:

  • AtBat: Number of times at bat in 1986
  • Hits: Number of hits in 1986
  • HmRun: Number of home runs in 1986
  • Runs: Number of runs in 1986
  • RBI: Number of runs batted in in 1986
  • Walks: Number of walks in 1986
  • Years: Number of years in the major leagues
  • CAtBat: Number of times at bat during his career
  • CHits: Number of hits during his career
  • CHmRun: Number of home runs during his career
  • CRuns: Number of runs during his career
  • CRBI: Number of runs batted in during his career
  • CWalks: Number of walks during his career
  • League: A factor with levels A and N indicating player's league at the end of 1986
  • Division: A factor with levels E and W indicating player's division at the end of 1986
  • PutOuts: Number of put outs in 1986
  • Assists: Number of assists in 1986
  • Errors: Number of errors in 1986
  • Salary: 1987 annual salary on opening day in thousands of dollars
  • NewLeague: A factor with levels A and N indicating player's league at the beginning of 1987

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Baseball Players Salary Prediction with Regression Techniques

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