Brahma vs GA Testing Hack
About the Event
Nothing ever becomes real till it is experienced.
-John Keats
While we don't know the context in which John Keats mentioned this, we are sure about its implication in data science. Knowing all the theory of machine learning without having applied it on real datasets is only half job done. Here is an opportunity to get your hands dirty with the most popular practice problem powered by Analytics Vidhya - Loan Prediction.
This hackathon aims to provide a professional setup to showcase your skills and compete with their peers, learn new things and achieve a steep learning curve.
Data Science Resources
- You can access the free course on Loan prediction practice problem using Python here. It covers the step by step process with code to solve this problem along with modeling techniques required to get a good score on the leaderboard!
- Here are some other free courses & resources:
- Are you a beginner? If yes, you can check out our latest 'Introduction to Data Science' course to kickstart your journey in data science.
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.
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Registration Details
Total registered
Number of teams
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Spaces You Can Join
Frequently Asked Questions
Find the answers for the most frequently asked questions
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.
Depending on the type of competition, you can participate individually or in a team.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
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.
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.
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.
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