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1. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

   Credit card fraud, involving stolen cards or compromised information, leads to major financial losses globally. This project uses machine learning to detect fraudulent transactions by recognizing u…

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2. Payment-Fraud Payment-Fraud Public

   A machine learning project to detect payment fraud using features like account age, payment method, and transaction time. Includes data visualization, preprocessing, and a Random Forest model for p…

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3. Customers-Segmentation Customers-Segmentation Public

   Leverage unsupervised machine learning techniques K-Means Clustering and Hierarchical Clustering to perform Market Basket Analysis and implement Customer Segmentation based on purchasing behavior.

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4. Big-Mart-Sales-Prediction Big-Mart-Sales-Prediction Public

   Sales data from Big Mart stores with product and outlet details. The goal is to predict Item_Outlet_Sales using features like item type, MRP, store type, and more.

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5. Customer-Clustering-and-Purchase-Affinity-Modeling-using-ML-Predictive-Algorithms Customer-Clustering-and-Purchase-Affinity-Modeling-using-ML-Predictive-Algorithms Public

   Apply customer segmentation using unsupervised learning and perform market basket analysis to uncover purchasing patterns from the Online Retail dataset.

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6. Amazon-Reviews-Sentiment-Analysis Amazon-Reviews-Sentiment-Analysis Public

   This is a sentiment analysis project that classifies Amazon product reviews as positive or negative using machine learning techniques.

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