Tutorial 5_Decision Tree

Let us implement decision trees to classify if a loan applicant is a good or bad credit risk using the Credit Risk dataset.

Activity:

1. Load data : credit_risk.csv
2. Do Feature engineering (Encoding)
3. Split the dataset into train and test data
4. Build the model
5. Evaluate model performance on train and test sets

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