cleaning for data using bython

What’s included:

• Business understanding: predict players’ Overall rating.

• Cleaning & EDA: nulls, outliers, distributions, correlations.

• Preprocessing: ColumnTransformer with One-Hot for categoricals + StandardScaler for numerics (in a Pipeline to avoid leakage).

• Modeling: Baseline LinearRegression, plus Ridge/Lasso comparisons; metrics = R², MAE, RMSE.

• Real-time testing: Use your 10-player sheet (same template you have) → generate Predicted_Overall and save CSV.