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London Bike Scheme Analysis

Project Type

Big Data

Tools

Hadoop, Hive, PySpark, Python, Machine Learning, SQL

Link

This project analyzes London's Santander Bicycle Sharing Scheme data to uncover insights into bike usage patterns, station activity, and rental trends. With over 83 million ride records and detailed station data, the goal is to optimize urban mobility, enhance transport sustainability, and improve urban living. The analysis focuses on identifying peak usage times, predicting demand across stations, and assessing the impact of new policies on ridership.

Website

gunjansharma.co

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