Classification Tree Model on Personal Loans Cross-Sell Data (Unbalanced Data) using Python

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Hi,

In this video, I have built a Classification Tree model on an unbalanced dataset.

I have taken a banking problem statement of Response Model for Personal Loans Cross-Sell.

In the model development process, I have explained the concepts of Overfitting, Cross-Validation, Grid Search Cross-Validation, Accuracy, Sensitivity, Specificity, and AUC-ROC

Kindly share your suggestion and comments for any improvments.
Thanking you.
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