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
Predicting delays in Urban mobility netwrok using different ML algorithms.
Analysis of flight systems to check the effectiveness of using Twitter data in conjunction with traditional datasets to improve predictions.
A web application to help the people working in the Accounts Receivable departments in their day-to-day activities.
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
A collection of data science case studies.
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