FIFA Project
You are a data scientist who wishes to make it big by becoming a football club manager. A rich club has decided to hire you as their manager. You have all the money to build a team from scratch.
Your aim is to find out the best squad for the upcoming football championship.
About the Dataset
Feature - Description
Name - Player name
Age - Age of the player
Nationality - Country name
Overall - Value of the player
Potential - Strength of the player
Club - Club name of the player
Value (M) - Income (Target Variable)
Position - Position of the player
Wage (M) - Monthly income
Evaluation metrics
For this particular dataset, we are using r2 score as the evaluation metric.
r2_score (coefficient of determination) regression score function.
Outcomes
In this project, I applied the following concepts:
Train-test split
Correlation between the features
Linear Regression
MSE and r2_score Evaluation Metric