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Felicity : Kings of Machine Learning

About the Event

Times are changing, and AI is the future. Do not make the mistake of considering this as just another coding contest. So gear up with all your statistics, machine learning, data mining tools and most importantly, your intuition, to beat the rest and become the best at Machine Learning.

Rules

  • A maximum of 2 members can form a team.
  • Teams are required to register on the Analytics Vidhya’s portal.
  • A participant can be a part of only one team.
  • Multiple teams can participate from one college.
  • Rank will be evaluated on a fraction of the test set during the event. Final rank will be decided on the basis of the remaining set after the competition ends.
  • The team members may be from different years in their course.
  • Please adhere to the deadlines given, requests for extensions and late entries will not be entertained.
  • In case of any dispute, decision of the Felicity’18 organizing team and Analytics Vidhya shall be final.
  • The format and structure of events are subject to change before the actual beginning of the event.
  • External Data cannot be used for this hackathon.
  • You cannot make more than 3 submissions in a single day.
  • Setting Final Submission is mandatory for the Private Leaderboard Score.

Prizes

First prize : INR 7000
Second prize : INR 5000
Third prize : INR 3000

The top 10 scorers will receive a honorary Kings of ML T-Shirt.

Important Dates

Registration Starts

23th January 2018

Competition Starts

25th January 2018 (00:00 AM IST)

Competition ends

31st January 2018 (11:59 AM IST)

Contact Details

Organisers

Email ID

Rohit Gajawada

[email protected]

Aashay Singhal

[email protected]

Manas Kumar Verma

[email protected]

Deepanshu Garg

[email protected]

Noveen Sachdeva

[email protected]

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Registration Details

1552

Total registered

151

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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