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  1. Online-payment-fraud-detection- Online-payment-fraud-detection- Public

    This project implements a full machine learning pipeline to detect online payment fraud. It uses preprocessing techniques like StandardScaler and SMOTE to address class imbalance, and applies Rando…

    Jupyter Notebook

  2. House-Price-Prediction House-Price-Prediction Public

    A machine learning project to predict California house prices using EDA, preprocessing, model evaluation, and real-time inference with Random Forest Regression.

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  3. Digit-Recognizer- Digit-Recognizer- Public

    Handwritten Digit Classifier using NumPy (from scratch) and TensorFlow. NumPy model achieves ~97% test accuracy with Adam optimizer & L2 regularization; TensorFlow model achieves ~99% test accuracy.

    Jupyter Notebook

  4. CIFAR-10-CLASSIFICATION-Custom-CNN-vs.-Transfer-Learning-MobileNetV2- CIFAR-10-CLASSIFICATION-Custom-CNN-vs.-Transfer-Learning-MobileNetV2- Public

    Comparing a custom CNN with MobileNetV2 on CIFAR-10, showing transfer learning boosts accuracy but may struggle with low-res images. Includes models, notebooks, and samples.

    Jupyter Notebook