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Classification-models-for-mode-choices
Classification-models-for-mode-choices PublicMulti-model comparison (Logistic Regression, XGBoost, RF, KNN, SVM) for transport mode choice prediction, handling class imbalance and achieving 57% accuracy with optimized Logistic Regression
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satellite-change-detection
satellite-change-detection PublicA 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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Ship-Detection-Using-Satellite-Images
Ship-Detection-Using-Satellite-Images PublicAn 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.
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Clustering-Day-Types
Clustering-Day-Types PublicMulti-method clustering analysis for traffic flow pattern identification, featuring comparative study of KNN, DBSCAN, GNN, and Agglomerative methods with evaluation metrics
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Neural-Networks-In-Transportation
Neural-Networks-In-Transportation PublicDeep 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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Ground-Water-Prediction---BitByteDrought
Ground-Water-Prediction---BitByteDrought PublicA 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 1
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