1st place solution (grad division) in 2020 TAMIDS Data Science Competition
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Updated
Apr 24, 2020 - Jupyter Notebook
1st place solution (grad division) in 2020 TAMIDS Data Science Competition
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
Analysis of flight systems to check the effectiveness of using Twitter data in conjunction with traditional datasets to improve predictions.
Predicting delays in Urban mobility netwrok using different ML algorithms.
A collection of data science case studies.
Repository for Data Science Competition: Intelligo 2023
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.
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