FIFA-Player-Performance-ML

FIFA Player Performance Prediction ⚽📉

An end-to-end Machine Learning project focused on analyzing and predicting football player performance metrics using regression techniques.

🚀 Project Overview

This project applies statistical modeling and machine learning algorithms to evaluate player attributes and predict key performance indicators. It demonstrates data pipeline creation

🛠️ Tech Stack & Skills

Language: Python

Environment: Jupyter Notebook

Libraries: Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn

Algorithms: Linear Regression, Ridge/Lasso Regression, Advanced Data Cleaning

📊 Key Implementation

Data Preprocessing: Handled missing values, encoded categorical variables, and performed feature scaling.

Exploratory Data Analysis (EDA): Visualized correlations between player attributes and overall performance ratings.

Model Training & Evaluation: Trained multiple regression models and evaluated performance using

R

2

score and RMSE.