This project analyzes the performance of football strikers using Python.
bash pip install pandas numpy matplotlib seaborn scikit-learn scipy openpyxl
📊 Features
- Clean and preprocess Excel striker data
- Visualize stats: goals, assists, accuracy, etc.
- Handle missing data
- Apply ML models (KMeans, Regression, etc.)
- Create performance plots
📁 Files Football Strikes Analysis/ → Jupyter notebook (.ipynb or .txt) Strikers_performance.xlsx → Dataset
🛠️ Tech Stack
- pandas
- numpy
- matplotlib
- seaborn
- scikit-learn
- scipy
- openpyxl
🚀 How to Run Use Google Colab (recommended) or run locally using Jupyter Notebook.