fahimabrar / Predicting_baseball_player-s_salary

Predicting Baseball Player's Salary

This project is a University Coursework

• The data of baseball players here
• The project has following subsection:
• • Data quality analysis
• • Data Cleaning
• • Exploratory Data Analysis
• • Building model for players salary (linear regression is used)
• • Predicting if a player will hit/not hit (Logistic regression is used)
• • References

Language

• R

Package Used

• ggplot2 for data visualization
• dplyr for data manipulation
• stringr for string manipulation
• nanier to see the null value in a nice graph
• validate for data quality checking
• gridExtra for plotting in grid
• tidyr for plotting multiple histogram in single plot
• purr

Issues Found

• heteroskadacity
• multicollinarity

Getting help for Issue solving

1. https://www.theanalysisfactor.com/outliers-to-drop-or-not-to-drop/#:~:text=You%20may%20run%20the%20analysis,any%20significance%20from%20your%20analysis.

2. https://cooldata.wordpress.com/2010/03/04/why-transform-the-dependent-variable/

3. https://statisticsbyjim.com/regression/heteroscedasticity-regression/

4. https://stackoverflow.com/questions/40572124/plot-lm-error-operator-is-invalid-for-atomic-vectors

5. https://www.researchgate.net/post/Help_with_Logistic_Regression_In_rglmfit_fitted_probabilities_numerically_0_or_1_occurred_glmfit_algorithm_did_not_converge

6. Senaviratna, N.A.M.R. and Cooray, T.M.J.A., 2019. Diagnosing Multicollinearity of Logistic Regression Model. Asian Journal of Probability and Statistics, pp.1-9.