Data Science Blogathon II
About the Event
Most Popular Article Award
- manmohan24nov - https://www.analyticsvidhya.com/blog/2020/11/summarize-twitter-live-data-using-pretrained-nlp-models/
- arya_24 - https://www.analyticsvidhya.com/blog/2020/10/multivariate-multi-step-time-series-forecasting-using-stacked-lstm-sequence-to-sequence-autoencoder-in-tensorflow-2-0-keras/
- arkaghosh.nb - https://www.analyticsvidhya.com/blog/2020/11/how-can-you-build-a-career-in-data-science-machine-learning/
Most Engaging Article Award
- chandra10 - www.analyticsvidhya.com/blog/2020/10/simple-text-multi-classification-task-using-keras-bert/
- ekta15 - www.analyticsvidhya.com/blog/2020/10/reinforcement-learning-stock-price-prediction/
- jnpravar - www.analyticsvidhya.com/blog/2020/11/artificial-intelligence-in-agriculture-using-modern-day-ai-to-solve-traditional-farming-problems/
Editorial Award
- Priyanka870 - https://www.analyticsvidhya.com/blog/2020/11/demystifying-model-interpretation-using-eli5/
- Pratvs - https://www.analyticsvidhya.com/blog/2020/11/generate-carnatic-music-with-google-magenta/
- Aniket1997 - https://www.analyticsvidhya.com/blog/2020/10/evaluating-the-quality-of-education-in-india-using-clustering/
Welcome Back to the Data Science Blogathon!
“If you want to change the world, pick up a pen and write.” — Martin Luther
The first Data Science Blogathon was an immense success! We received 75+ articles from our community members who put pen to paper like never before, explaining their thoughts on data science and machine learning in an exquisite and easy to understand manner.
We are delighted to announce the launch of Analytics Vidhya’s second Data Science Blogathon, the ultimate competition which combines your writing prowess with your machine learning skills!
The best way to learn any concept, especially in data science, is by writing about it. That not only helps you understand what you learned in more detail, but sharing it with the community helps others understand how a particular data science idea works.
Analytics Vidhya has always been at the forefront of knowledge sharing, and we want to continue this trend among our community members.
We will not only publish the best articles on Analytics Vidhya’s blog but also, provide feedback to every writer on their article. Along with recognition in front of a broad audience, there are lucrative prizes to be won!
You can write on a wide range of topics including, but not limited to:
- Machine Learning and Data Science
- Data Engineering
- Business Intelligence
- Deep Learning
- Data Science in the industry
- Careers in ML and DS
- Statistics
- Python/R/SAS programming
And many more!
What are the Prizes on offer?
Every article that meets Analytics Vidhya’s standards will be published on the Analytics Vidhya blog. This offers you a one-of-a-kind opportunity to reach out to a HUGE audience and embellish your data science profile and your own brand.
There are lucrative prizes on offer as well, in three categories:
1. The Most Popular Article Award
The top 3 winners will be judged based on the number of unique pageviews on their articles.
1st Prize: INR 7500
2nd Prize: INR 3000
3rd Prize: INR 1500
2. The Most Engaging Article Award
The top 3 winners will be judged based on the number of unique page views they generate from social media (Facebook, LinkedIn, Twitter and Instagram).
1st Prize: INR 6000
2nd Prize: INR 2500
3rd Prize: INR 1500
3. Editorial Award
The top 3 winners will be judged by the Analytics Vidhya editorial team based on our internal metrics.
1st Prize: INR 4500
2nd Prize: INR 2000
3rd Prize: INR 1500
And that’s not all! More Prizes!
We always appreciate the extra effort our community members put in, so if your article generates:
- More than 15000 views, you get INR 2,000 as a bonus,
- More than 5000 views, you get INR 1,000 as a bonus
regardless of where you finish in the above three categories!
When will the winners be declared?
The winners for all 3 categories will be declared on November 17, 2020.
Even though you need to submit your article by 11.59 pm on November 8, the views for your article will count until November 15th, 11.59 pm. So keep sharing your article after it's been published to increase your chances of winning!
You can view the leaderboard tab to see the ranking for the number of views category.
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Registration Details
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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!
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!
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!
10.4K
Frequently Asked Questions
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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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