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1. fraud-detection fraud-detection Public

   Developed a fraud detection model using Python and Machine Learning algorithms. Applied SMOTE to handle imbalanced datasets. Evaluated performance using Accuracy, Precision, Recall, F1-Score, and R…

2. employee-retention-prediction employee-retention-prediction Public

   Machine Learning project to predict employee attrition and identify employees likely to leave the organization using predictive analytics.

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3. Breast-Cancer-Prediction Breast-Cancer-Prediction Public

   Machine Learning project to predict whether a breast tumor is benign or malignant using classification algorithms and medical diagnostic data.

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4. Iris-Classification Iris-Classification Public

   Machine Learning project to classify Iris flower species based on sepal and petal measurements using classification algorithms.

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5. Customer-Segmentation Customer-Segmentation Public

   Machine Learning project that segments customers into distinct groups based on purchasing behavior using K-Means clustering.

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