The D Hack
About the Event
The season of festivities is at the verge of arrival. While people here have their own ways of celebrating, we’ve planned to make yours an extremely special one!
If you love working with data, at any time, day or night, on a stretch, this season you’ll not only learn a great deal of things, but also win exciting prizes.
Our previous version Data Hackathon 3.x received a phenomenal response. More than 500 data practitioners participated around the world. We thank you all for that. It was indeed our biggest hackathon till now. Gladly, it wouldn’t be any longer. This will be even bigger.
Data Hackathon – The D Hack is now live for registrations. Now is the time, to revise your data science techniques & algorithms and give a tough fight in the competitions. Our defending champions are all set to defend their crown. You better get going now!
Winning Prize
The ‘D’ Hack offers Double the prize, Double the excitement and of course, Double the challenge. The winner will receive an Amazon voucher worth Rs. 20,000(~$300). The top 10 participants will be awarded certificate of participation by Analytics Vidhya.
Why should you participate ?
- If you are a curious child, you’ll definitely learn a lot by interacting with participants, acknowledging their thought process and approaches.
- Prizes, Of course!
- Get introduced to the use of new algorithms and techniques
- Evaluate your skills and knowledge and seek the best ways to improve
Other Details
- The contest starts at 00:01(IST) on 24th October 2015, when the data set and the problem statement will be released
- No new entries would be accepted after 25th October 2015 (11:59 PM IST)
- People are free and are encouraged to post their challenges / findings / solutions on the discussion portal in the following category: Online hackathon
- No submission would be accepted after 23:59 on 25th October 2015
- The best entry as judged by the metric and Analytics Vidhya gets the Amazon Voucher worth Rs. 20,000(~$300)
- You are suggested to join this forum during the battle. You'll find live chat sessions amongst the data scientists:Slack
- After the end of contest, we will release winner's solution to the wider community
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.
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