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Machine Learning Starter Program Hackathon

About the Event

The Machine Learning Starter Pack is a step-by-step online starter program to learn the basics of Machine Learning, hear from industry experts and data science professionals, and apply your learning in machine learning hackathons!

This is the perfect starting point to ignite your fledging machine learning career and take a HUGE step towards your dream data scientist role. 

If you haven't enrolled to the program already, Don't wait! 

We are providing this program free of cost to support learners from all over the world to maximise their learning while staying at home in the prevailing conditions for 14 days from the day of enrollment!

Enroll Now!

To enhance and compliment your learning, here is an exciting machine learning problem to apply your knowledge and monitor your progress by tracking your progress on the leaderboard.


Rules

  • One person cannot participate with more than one user accounts.
  • You are free to use any tool and machine you have rightful access to.
  • You can use any programming language or statistical software.
  • You are free to use solution checker as many times as you want.


FAQs

1. Are there any prizes/AV Points for this contest?

This contest is purely for learning and practicing purpose and hence no participant is eligible for prize or AV points. 

 

2. Can I share my approach/code?

Absolutely. You are encouraged to share your approach and code file with the community. There is even a facility at the leaderboard to share the link to your code/solution description.

 

3. I am facing a technical issue with the platform/have a doubt regarding the problem statement. Where can I get support?

Join the AV slack channel by clicking on 'Join Slack Live Chat' button and ask your query at channel: janata_hack.

 

4. Where can I find the dataset and problem statement for this hackathon?

You may download the dataset and access the problem statement from the problem statement tab on this page itself once the contest goes live. If you are still facing any issue please post your query with screenshot at the slack channel

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Registration Details

1720

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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