Note: This tool is designed to demonstrate a full machine learning workflow in a lightweight, fast and accessible format. For that reason, uploading very large datasets is not supported directly through the browser interface.

The sample dataset provided in the demo contains over 150,000 rows but only the first 1,000 are used here to keep performance smooth and interactive. Even with that subset, the model achieves about 70% accuracy using XGBoost. With the full dataset, accuracy improves significantly, reaching approximately 90%.

This section is built to showcase practical skills in building automated pipelines, selecting and training models and presenting insights in a clean and user friendly way, all without requiring any code.

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