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Added an example to 14_imbalanced/handling_imbalanced_data_exercise.md#24

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  1. Exercise: Predicting Customer Satisfaction
    Use the Customer Satisfaction dataset from Kaggle. -https://www.kaggle.com/datasets/teejmahal20/airline-passenger-satisfaction

    1. Build a classification model to predict customer satisfaction.

    2. Initially, use a logistic regression model from scikit-learn.

    3. Print the classification report and analyze precision, recall, and f1-score.

    4. Try to improve the f1-score for the minority class using techniques like undersampling, oversampling, or ensemble methods.

    5. [Solution] :https://www.kaggle.com/code/teejmahal20/classification-predicting-customer-satisfaction

    Thankshttps://kaggle/teejmahal20 for providing this solution.

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