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Testing Akash 5 Sept Tournament

About the Event

Welcome to the Data Science Tournament!

In the Tournament, you will get a chance to participate in a top-graded MCQ Assessment and a Hackathon.

The Tournament is based on Data Science & Machine Learning.
 
 
MCQ Assessment helps students by assessing their knowledge quickly, reinforcing key concepts, identifying areas for improvement, and improving time management and problem-solving skills.
 
Hackathons help students by providing hands-on experience, enhancing problem-solving skills, fostering collaboration, and offering real-world exposure to machine learning challenges. They also build portfolios and can lead to networking and career opportunities.
 

How the scoring works?

  1. Each Round will be independent from the other and you will be able to see your score for MCQ Assessment and Hackathon individually.
  2. MCQ Assessment does not allow Team participation, whereas in the Hackathon you can create teams.
 
To know more about each round, select the Round and go to the Rules section.
 
We now hope you are ready to participate and give your best.
 

Wish you all the best!

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Registration Details

15

Total registered

12

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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