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The Repo contain the code file and all relevant files for running the code from ACM Kaggle Konquest

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ACM-Kaggle

The Repo contains the code file and all relevant files for running the code from ACM Kaggle Konquest

LGBM_Best_Model.csv: Contains the winning CSV file.

ACM Kaggle.ipynb: Contains the pre-processing and label encoding.

LGBMgridsearch.ipynb and RFgridsearch.ipynb: Both the notebooks contain hyperparameter tuning for both the models containing information about the winning model.

model_ready_test1(nofeat).csv: Test dataset with label encoding already done.

model_ready_train1(nofeat).csv: Training dataset with label encoding already done.

The winning result is in RFgridsearch File at the end.

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The Repo contain the code file and all relevant files for running the code from ACM Kaggle Konquest

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  • Jupyter Notebook 100.0%