Hackathon for UA students - 19 July 2019
Download data from this Drive folder
Sharing bicycles represent a healthier and environment-friendly lifestyle, and there could be some interesting mechanism behind it! This dataset represents a history of usage of city bikes in San Francisco Area from 2017 until 2019. The goal is to explore and analyse this dataset in order to create a fleet management solution.
Where do Bikeshare riders go? When do they ride? How far do they go? Which stations are most popular? What days of the week are most rides taken on?
The use case can be found here
The final grade of each team will be calculated based on the following:
| Task | Weight |
|---|---|
| Predict trip duration | 16.66% |
| Predict the destination (END) station | 16.66% |
| Predict bike demand for the following week | 33.33% |
| Web dashboard | 33.33% |