Sendy Logistics Challenge
$7,000 USD
Predict the estimated time of arrival (ETA) for motorbike deliveries in Nairobi
1552 data scientists enrolled, 431 on the leaderboard
LogisticsPredictionStructuredLocation
Kenya
23 August 2019—26 November 2019
Tips on how to extract features using open street map and open route service
published 11 Oct 2019, 10:26

This is my first time of working with a dataset that has coordinates as features. I have tried to obtain new features, using only the Train file given by Zindi, from the longitude and latitude by calculating certain distances and bearings. However, I know my score would improve if I find a way of using the additional datasets given by Zindi.

Are there any links or articles you know of which can give me a basic guide to extracting features using the open street map and open route service? Any help, please?

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