antonettekelly/Football-Players-Value-Prediction-Regression-and-Clustering-R

Regression and clustering implementations in predicting football players value based on FIFA 21 Football Player Data using R Programming Language

Football Players Value Prediction | Regression and Clustering

This project aims to obtain predictive value in football players using Linear Regression and Density-Based Clustering (DBSCAN) algorithms.

Performed data preparation and Exploratory Data Analysis on FIFA 21 Football Player Data, conducted statistical tests, and built regression and clustering models using Linear Regression and DBSCAN respectively. Results showed that Linear Regression obtained R-squared of 0.3861 and RMSE of 0.5907, while DBSCAN achieved an accuracy of 97%.