1st place solution (grad division) in 2020 TAMIDS Data Science Competition
-
Updated
Apr 24, 2020 - Jupyter Notebook
1st place solution (grad division) in 2020 TAMIDS Data Science Competition
A web application to help the people working in the Accounts Receivable departments in their day-to-day activities.
ERP Delay Prediction using Machine Learning – A regression-based solution to predict delays in ERP processes using Python, Scikit-learn, and Flask. Includes an interactive API for real-time predictions and can be extended for industry use.
Predicting public transport delays and commute risk while delivering personalized commute recommendations using machine learning, SHAP explainability, and real-time weather/event data.
A collection of data science case studies.
Flight Delay Prediction - Predictive Systems project in AI / ML / GenAI for CSEProjects360 final year project catalog.
Analysis of flight systems to check the effectiveness of using Twitter data in conjunction with traditional datasets to improve predictions.
Repository for Data Science Competition: Intelligo 2023
Predicting delays in Urban mobility netwrok using different ML algorithms.
Predicts how a single train delay cascades through India's 13,000+ train network using Graph Analysis, Cascade Simulation & XGBoost ML
Shipment Delay Prediction is a machine learning-based web application built with Flask. It predicts whether a shipment will be delivered on time or delayed
🚚 Predict shipment delays in real-time using XGBoost & Streamlit. Built on the DataCo Supply Chain Dataset.
A robust public transport routing engine for the SBB network guaranteeing arrival times based on statistical confidence levels (Q%). Built with PySpark, Trino, and a custom stochastic multi-criteria Dijkstra algorithm.
Add a description, image, and links to the delay-prediction topic page so that developers can more easily learn about it.
To associate your repository with the delay-prediction topic, visit your repo's landing page and select "manage topics."