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Code(winning solution) for the fare calssification challenge which is a private competition hosted at kaggle whrere the goal of the competition is to classify fare as correct or not

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iTharindu/fare_classification

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fare_classification

##Notebooks##

Fare_classification_eda_insights.ipynb - contains plots made for analysing the data as well as baseline models made like XGBoost and LightGBM as well as contains post model insights like Feature importance and Partial dependence plots Fare_classification_challenge.ipynb - Contains the final model and ensambling techniques

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Code(winning solution) for the fare calssification challenge which is a private competition hosted at kaggle whrere the goal of the competition is to classify fare as correct or not

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