I analyzed the dataset, visualized relationships, and reduced features to avoid overfitting. Choosing logistic regression for churn prediction, I employed regularization to enhance model performance. My approach blends data insights, feature reduction, and regularization for effective results.
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I analyzed the dataset, visualized relationships, and reduced features to avoid overfitting. Choosing logistic regression for churn prediction, I employed regularization to enhance model performance. My approach blends data insights, feature reduction, and regularization for effective results.
mohauop/Churn-Prediciton
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I analyzed the dataset, visualized relationships, and reduced features to avoid overfitting. Choosing logistic regression for churn prediction, I employed regularization to enhance model performance. My approach blends data insights, feature reduction, and regularization for effective results.
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