DebarshiChanda/Amazon-ML-Challenge2021
Scripts and Approach for Amazon ML Challenge
Implements an ensemble approach combining XGBoost, LightGBM, and neural networks for product category prediction from Amazon catalog data, with custom feature engineering for text and categorical attributes. The solution leverages hyperparameter optimization and stacking techniques to achieve competitive performance on the multi-class classification task, integrating with scikit-learn pipelines for reproducible preprocessing and model evaluation.
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License
MIT
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Last pushed
Aug 08, 2021
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