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| title: HighAccuracyMLPrep | |
| author: Rounak | |
| emoji: 🚀 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 4.44.1 | |
| app_file: app.py | |
| pinned: false | |
| # HighAccuracyMLPrep | |
| Production-grade Python library designed to bridge the gap between messy, raw, real-world data and high-accuracy machine learning models. | |
| ## Core Features | |
| - Structural Type Detection | |
| - Leakage-Free Imputation | |
| - Advanced Feature Engineering | |
| - Signal Pruning via LightGBM | |
| - Dynamic Hyperparameter Profiling | |
| ## Demo | |
| Upload a raw CSV file, select the target column, and the app will clean the data, build engineered features, train a model, and show validation metrics. | |