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1. phishing-website-detection phishing-website-detection Public

   Once they identify phishing website, the site is not accessible, or the user is informed of the probability that the website is not genuine. This approach requires minimum user training and require…

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2. Optimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods Optimizing-Credit-Card-Fraud-Detection-Using-Ensemble-Methods Public

   The project demonstrates the effectiveness of combining AdaBoost and Majority Voting for credit card fraud detection, providing a reliable and accurate solution to combat fraudulent activities in f…

3. Churn-Prediction-Using-ANN Churn-Prediction-Using-ANN Public

   Credit card churn prediction using Artificial Neural Networks (ANN) involves predicting whether a customer will stop using their credit card services.

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4. Enhancing-Customer-Retention-A-Machine-Learning-Approach-to-Churn-Prediction Enhancing-Customer-Retention-A-Machine-Learning-Approach-to-Churn-Prediction Public

   Churn prediction using machine learning models like Random Forest, Decision Tree, and XGBoost involves identifying customers who are likely to stop using a company's services.

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