Flowers

JanataHack: Mobility Analytics

Online 15-05-2020 11:59 PM to 17-05-2020 11:59 PM
  • 6839

    Registered

  • 63

    Number of Teams

  • Knowledge & Learning

    Prizes

With the upcoming cab aggregators and demand for mobility solutions, the past decade has seen immense growth in data collected from commercial vehicles with major contributors such as Uber, Lyft and Ola to name a few. 

There are loads of innovative data science and machine learning solutions being implemented using such data and that has led to tremendous business value for such organizations. 

This weekend we bring to you another JanataHack, this time relating to mobility business. Participate, compete and earn bragging rights against the best hackers globally.

 

FAQs

1. Where can I find the dataset and the problem statement for the hackathon?

The contest will go live on the designated contest start date and time. There is a timer that is shown at the top of this page which shows the remaining time before the contest goes live. This is when you can access the problem statement and datasets from the problem statement tab.


1. Are there any prizes/AV Points for this contest?

This contest is purely for learning and practicing purpose and hence no participant is eligible for prize or AV points.

 

2. Can I share my approach/code?

Absolutely. You are encouraged to share your approach and code file with the community. There is even a facility at the leaderboard to share the link to your code/solution description.

 

3. I am facing a technical issue with the platform/have a doubt regarding the problem statement. Where can I get support?

Join the AV slack channel by clicking on 'Join Slack Live Chat' button and ask your query at channel: janata_hack

ALT

Please register/login to participate in the contest

Please register to participate in the contest

Please register to participate in the contest

Support

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.