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.
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
A collection of data science case studies.
Predicting public transport delays and commute risk while delivering personalized commute recommendations using machine learning, SHAP explainability, and real-time weather/event data.
Flight Delay Prediction - Predictive Systems project in AI / ML / GenAI for CSEProjects360 final year project catalog.
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 delays in Urban mobility netwrok using different ML algorithms.
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.
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.
Predicts how a single train delay cascades through India's 13,000+ train network using Graph Analysis, Cascade Simulation & XGBoost ML
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."