Weather Disruption of Public Transport Analysis Using Python

Posted 7 CommentsPosted in Datathon 2020 Solutions, Datathons Solutions

The Weather Dataset provided has been preprocessed the traffic data ha been appended after preprocessing.The aim is to find the intersection dates available from both the datasets and do a predictive analsyis after combining traffic and weather datasets.so if future weather conditions are given or predicted by time series analysis ,public trasnport disruption could be interpreted using machine learning models.

(Just a small try by an undergrad engineering student,Hope you like it 🙂 ).