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boosting-algorithms

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shreyash2610 / Machinehack-Mathcothon-Car-Price-Prediction

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With the rise in the variety of cars with differentiated capabilities and features such as model, production year, category, brand, fuel type, engine volume, mileage, cylinders, colour, airbags and many more, we are bringing a car price prediction challenge for all. We all aspire to own a car within budget with the best features available. To so…

visualization data-science machine-learning xgboost preprocessing boosting-algorithms data-cleaning lgbm matplotlib-pyplot catboost-model machinehack-competition
  • Updated Jul 20, 2021
  • Jupyter Notebook

DhruvSrikanth / Boosting-Theory

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A collection of papers produced on the theory of boosting as applied to binary classification. Further extensions to the multi-class classification problem and necessary and sufficient conditions to ensure boostability i.e. weak learning conditions. Finally, an overview over boosting algorithms and models employed in industry.

machine-learning xgboost adaboost boosting-algorithms research-paper binary-classification gradient-boosting boosting multi-class-classification weak-learning weak-learning-conditions
  • Updated Jun 28, 2023

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