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Hyperparameter tuning to optimize the LightGBM and CatBoost models #109

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SaurabhIndi
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fixes #10
Implemented hyperparameter tuning using tools like GridSearchCV to optimize LightGBM and CatBoost models existing in the notebook.

  1. Selected hyperparameters to tune: We will define a grid or range of hyperparameters for both LightGBM and CatBoost.
  2. Implemented GridSearchCV: We will use these methods from sklearn.model_selection to find the optimal hyperparameters based on cross-validation.

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@jvedsaqib Please validate the file structural changes.
@rohitinu6 Please verify the technical details.
Other than that I have checked. Looks good to me!

@SaurabhIndi SaurabhIndi deleted the patch-3 branch October 13, 2024 07:26
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Hyperparameter tuning
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