Traffic Jam: Predicting People's Movement into Nairobi
$12,000 USD
Uber and Mobiticket team up to predict demand for public transportation into Nairobi
6 September 2018–13 January 2019 23:59
632 data scientists enrolled, 204 on the leaderboard
Knowledge Sharing
published 21 Jan 2019, 23:56

Hi everyone.

I chronicled my data science journey and some of my major learning points from this competition in this post: https://medium.com/@dehbaiyor/dehbaiyor-there-is-always-something-new-to-learn-zindi-uber-traffic-competition-4e47ae800ca6. I was also able to reach out to a top 10 solution who gladly shared his best entry (there are no detailed explanations anyway). I hope both begineers and experts will be able to learn from the post and the Github repo (which includes both my detailed notebook and the top 10 solution pdf) attached to it. I encourage other people to share their experiences too so that we can all learn from one another.

Cheers!

Thanks for sharing!

I hope others share as well.

Hi Thanks.

Github repo link to your work?

Regards.

Very interessting to read. Inspires me to clean up my notebook and share it as well.

Thank you so much, that is very encouraging.

hello everyone, this is my github repo with the 15th best solution

https://github.com/steph-en-m/ticket_sales_prediction

i did not incorporate uber data so feel free to fork it and incorporate the uber data