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Re-Date Your Data: Learning Contest

About the Event

"Spend some time with your data and get to know them better!"

On this month of February where Love is in air, we decided to surprise them who love data.

Those who get intrigued, most definitely curious, about data; here is your chance to exploit it to the fullest.

Analytics Vidhya’s “Date Your Data” contest is Now Live for Registrations!


Important Points

  1. To participate in this competition, you must have knowledge of SAS/R/Python/Julia/Go

  2. You must have knowledge of machine learning algorithms

  3. You must have data exploration skills.

  4. These is NO Registration FEES.


Other Details

  1. The contest starts at 23:59(IST) on 28th February 2016, when the data set and the problem statement will be released.

  2. No submissions would be accepted after 13th march 2016 (11:59 PM IST)

  3. People are free and are encouraged to post their challenges / findings / solutions on the discussion portal in the following category: Online hackathon

  4. The best entry as judged by the metric and Analytics Vidhya gets Exciting prizes.

  5. You are suggested to join this forum. You'll find live chat sessions amongst the data scientists.

  6. After the end of contest, we will release winner's solution to the wider community

Participate in Discussion

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Registration Details

2335

Total registered

4

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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