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Query Domain Classification

About the Event

Analytics Vidhya is India's largest data science community platform serving knowledge and career needs of data enthusiasts and professionals

About Practice Problem

Analytics Vidhya is bringing you a series of practice problems for all the data scientists out there to apply your knowledge on the real world datasets, learn new techniques and improve your skill set.

Why Should You Participate?

Participating in data science practice hackathons can be beneficial for several reasons:

Develop and improve data science skills: Hackathons provide an opportunity to work on real-world problems and learn new techniques.

Networking: Hackathons bring together a diverse group of individuals with different skill sets and backgrounds, providing an opportunity to build professional connections.

Practice for competitions: Hackathons can be a good way to prepare for other data science competitions or Kaggle challenges.

It's fun: Participating in a hackathon can be a fun and exciting experience, and it's a great way to meet like-minded people who are passionate about data science.

Rules and Conditions

  1. Use of an external dataset is not allowed.
  2. Participation is free-of-charge.
  3. Throughout the Event, you are expected to respect fellow hackers and act with high integrity.
  4. We hold the right to disqualify any participant at any stage of the competition if the participant(s) are deemed to be acting fraudulently.
  5. In case of any dispute over rankings and leaderboard, the decision of Analytics Vidhya will be final.

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Registration Details

1061

Total registered

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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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