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Student DataFest 2018: The Data Supremacy

About the Event

The Data Supremacy student hackathon is the ultimate battleground for aspiring data scientists! The aim of this hackathon is to let your imagination guide you to push the boundaries of your knowledge and skills in this field. Use your data science skillset to hack and innovate and climb your way to the top of the leaderboard. By the end of this competition, your appetite for data science will have grown exponentially!

To learn more about the Student DataFest 2018,Click here

Rules

  • Only Students with verified Students Account will be displayed on the leader-board in the contest.
  • Student pursuing Undergraduate/Master’s Degree are eligible in any discipline.
  • Only Individual participation is allowed in the Hackathon.
  • Please adhere to the deadlines given, requests for extensions and late entries will not be entertained.
  • In case of any dispute, decision of Analytics Vidhya shall be final.
  • The format and structure of events are subject to change before the actual beginning of the event.

Prizes

Prizes worth INR 1,60,000 (will be awarded to the top 10 performers of the event).

To be eligible for the prizes the participant has to be a verified student on Analytics Vidhya.

  • Rank 1: INR 40,000 + DataHack Summit 2018 Conference Ticket
  • Rank 2: INR 25,000+ DataHack Summit 2018 Conference Ticket
  • Rank 3: INR 15,000+ DataHack Summit 2018 Conference Ticket
  • Rank 4th & 5th: INR 5,000 + DataHack Summit 2018 Conference Ticket (each)
  • Rank 6th to 10th: Amazon Voucher worth INR 2000 each

Important Dates

Start Date

6th July, 2018

End Date

22nd July, 2018

Participate in Discussion

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Registration Details

1028

Total registered

0

Number of teams

Know where you stand

Spaces You Can Join

Data Science

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Generative AI

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Data Engineering

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

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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