Janata Hack - Machine Learning Hackathon to support Janata Curfew
About the Event
About JanataHack - Machine Learning Hackathon
Analytics Vidhya supports Janata Curfew announced by Honorable Prime Minister Narendra Modi. To support the initiative, we announce Janata Hack - a knowledge competition on Machine Learning & Data Science on 22nd March 2020.
We invite all our community members to participate in JanataHack to enhance your learning. All participants get free access to Machine Learning course of Analytics Vidhya during the hackathon.
About Janata Curfew
Janata Curfew, as announced by Honorable Prime Minister Narendra Modi, is a community initiative asking every Indian to stay at home on 22nd March 2020. This is to restrict the spread of virus among our community.
As a responsible data science community, Analytics Vidhya calls all its community members to stay at home and participate in a special Machine Learning Hackathon to support this initiative.
Come, interact with the community, apply Data Science, Hack, have fun and Stay Safe
Rules
- One person cannot participate with more than one user accounts.
- You are free to use any tool and machine you have rightful access to.
- You can use any programming language or statistical software.
- You are free to use solution checker as many times as you want.
Team Formation Rules & Instructions
- Click here to view process flow for Team Creation
- Maximum of 2 people can form a team.
- One person can be a part of one team only.
- Team once created can't be dissolved.
- Teams can't be merged.
FAQs
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. However, all participants will get access to Applied ML Course during the course of the hackathon
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
Participate in Discussion
Registration Details
Total registered
Number of teams
Know where you stand
Spaces You Can Join
Frequently Asked Questions
Find the answers for the most frequently asked questions
Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.
Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.
There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.
In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.
Depending on the type of competition, you can participate individually or in a team.
Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.
AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
Please login/signup to participate in the discussion
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