GitHub repository: suprihantaa/marketvaluation
Primary language: Jupyter Notebook
Created: 2020-09-28T20:48:45Z
Description: In this project, I am trying to predict the suitable market value for the football players based on its characteristics, performance, and popularity. The characteristics data were obtained from transfermarkt.com, the performance data obtained from API-Football, and the popularity data sourced from Google, Twitter, and Youtube. There are five models tried towards the trainset, Linear Regression, Ridge Regression, LASSO Regression, Decision Tree Regressor, and Random Forest Regressor.