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1. Customer-Churn-Prediction-using-Artificial-Neural-Networks-ANN Customer-Churn-Prediction-using-Artificial-Neural-Networks-ANN Public

   Built an ANN-based customer churn prediction model using TensorFlow and Scikit-learn, including data preprocessing, feature encoding, model training, and performance evaluation.

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2. Deep-Learning-based-Prescriptive-Maintenance-for-Machine-Health-Estimation Deep-Learning-based-Prescriptive-Maintenance-for-Machine-Health-Estimation Public

   This project is about building a deep learning model that can predict numerical values (like prices, scores, or measurements) using past data. The model is created using TensorFlow and Keras and is…

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3. Design-Fabrication-of-Regenerative-Braking-System Design-Fabrication-of-Regenerative-Braking-System Public

   Designed and fabricated a regenerative braking system to recover and reuse kinetic energy, improving vehicle efficiency and sustainability.

4. Handwritten-Digit-Classification-using-Neural-Networks-MNIST Handwritten-Digit-Classification-using-Neural-Networks-MNIST Public

   A neural network project to classify handwritten digits (0–9) using the MNIST dataset. Implemented with Python and TensorFlow/Keras, it demonstrates image recognition, model training, and predictio…

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5. Loan-Approval-Prediction-using-Machine-Learning Loan-Approval-Prediction-using-Machine-Learning Public

   End-to-end ML project for predicting loan approvals using Python and Scikit-Learn. Includes EDA, feature engineering, multiple classifiers, hyperparameter tuning, and performance evaluation.

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6. MSMHA-AutoEncoder-with-CNN-BiLSTM-for-Bearing-Remaining-Useful-Life-Prediction MSMHA-AutoEncoder-with-CNN-BiLSTM-for-Bearing-Remaining-Useful-Life-Prediction Public

   MSMHA-RUL-Prediction provides a robust approach for bearing prognostics by integrating representation learning and sequence prediction.

   Jupyter Notebook 1