Machine learning pipeline for predicting used car prices using Kaggle’s Playground S4E9 dataset. Includes data cleaning, EDA, feature engineering, statistical analysis, and advanced regression models (LightGBM, XGBoost, CatBoost). Modular notebooks, visuals, and documentation included.
A streamlined and easy-to-use AI performance evaluation / summary template with modern UI in HTML, including correct percentage chart and comparison with other models, precision, recall, F1-score, and confusion matrix. Enables you to create the result chart within 3 minutes.
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