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1. Classification-models-for-mode-choices Classification-models-for-mode-choices Public

   Multi-model comparison (Logistic Regression, XGBoost, RF, KNN, SVM) for transport mode choice prediction, handling class imbalance and achieving 57% accuracy with optimized Logistic Regression

   Jupyter Notebook 1

2. satellite-change-detection satellite-change-detection Public

   A comprehensive analysis of soil degradation in Karnataka, India (2015-2019) implementing three change detection methods: index differencing (NDVI/BI), change vector analysis, and RUSLE with ancill…

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3. Ship-Detection-Using-Satellite-Images Ship-Detection-Using-Satellite-Images Public

   An 88.54% accurate CNN-based solution for Airbus Ship Detection Challenge that carries out maritime monitoring to prevent illegal activities and accidents at sea through satellite imagery analysis.

   Jupyter Notebook 1

4. Clustering-Day-Types Clustering-Day-Types Public

   Multi-method clustering analysis for traffic flow pattern identification, featuring comparative study of KNN, DBSCAN, GNN, and Agglomerative methods with evaluation metrics

   Jupyter Notebook

5. Neural-Networks-In-Transportation Neural-Networks-In-Transportation Public

   Deep neural network implementation comparing various architectures against linear regression for real-time bus arrival delay prediction, optimized with practical training techniques for enhanced ac…

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6. Ground-Water-Prediction---BitByteDrought Ground-Water-Prediction---BitByteDrought Public

   A data analytics solution leveraging Random Forest and ARIMA models to analyze and predict groundwater levels across India, providing critical insights for national water resource management.

   Jupyter Notebook