We have a dataset of user performances. The project is to develop a machine learning model that will predict the salaries of baseball players.

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Machine LearningSalary-Prediction-with-Machine-Learning
Overview

Salary-Prediction-with-Machine-Learning

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1. Business Problem

Can a machine learning project be implemented to estimate the salaries of baseball players whose salary information and career statistics for 1986 are shared?

2. Dataset Story

  • This dataset was originally taken from the StatLib library at Carnegie Mellon University.
  • The data set is part of the data used in the 1988 ASA Graphics Section Poster Session.
  • Salary data originally taken from Sports Illustrated, April 20, 1987.
  • 1986 and career statistics, Collier Books, Macmillan Publishing Company.

3. Variables

  • AtBat: Number of hits with a baseball bat during the 1986-1987 season
  • Hits: the number of hits in the 1986-1987 season
  • HmRun: Most valuable hits in the 1986-1987 season
  • Runs: The points he earned for his team in the 1986-1987 season
  • RBI: The number of players a batter had jogged when he hit
  • Walks: Number of mistakes made by the opposing player
  • Years: Player's playing time in major league (years)
  • CAtBat: The number of times the player hits the ball during his career
  • CHits: The number of hits the player has made throughout his career
  • CHmRun: The player's most valuable number during his career
  • CRuns: The number of points the player has earned for his team during his career
  • CRBI: The number of players the player has made during his career
  • CWalks: The number of mistakes the player has made to the opposing player during his career
  • League: A factor with levels A and N, showing the league in which the player played until the end of the season
  • Division: a factor with levels E and W, indicating the position played by the player at the end of 1986
  • PutOuts: Helping your teammate in-game
  • Assits: The number of assists the player made in the 1986-1987 season
  • Errors: the number of errors of the player in the 1986-1987 season
  • Salary: The salary of the player in the 1986-1987 season (over thousand)
  • NewLeague: a factor with levels A and N indicating the league of the player at the beginning of the 1987 season

TASK

Salary using data preprocessing and feature engineering techniques develop a forecasting model

Owner
Ayşe Nur Türkaslan
I continue my studies in the field of Data Science and Artificial Intelligence. I want to turn my efforts into a contribution using Github
Ayşe Nur Türkaslan
GitHub Repository
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