The 19th edition of the Data Science Blogathon has concluded and here is the list of winners by the Views their articles got:
List of winners in the Guides category:
The best way to learn any concept, especially in Data Tech, is by sharing 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 Tech idea works.
Analytics Vidhya has always been at the forefront of knowledge sharing, and we want to continue this trend among our community members/thought leaders/ industry experts.
We are delighted to announce the launch of Analytics Vidhya’s Data Science Blogathon 19th Edition. We have published approximately 4000 articles written by 700+ authors on various topics in Data Science such as Machine Learning, Deep Learning, Data Engineering, etc. And, we are aiming to make it bigger.
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 global audience, there are lucrative prizes to be won also! Are you ready to join our 'Data Science Community'?
In this edition, we are coming up with an Author Referral Program. This will help our existing authors to invite their peers/friends/leaders/gurus/ to share their knowledge with the community as well.
To enter the competition, just press the register button above. Once the competition starts on April 8th, please head over to https://editor.analyticsvidhya.com/ and start writing. It's that simple!
Note that it takes us up to 36-48 hours to review and provide feedback for each article. And once you see ‘Shortlisted’ on the Editor, give it up to 24 hours for the article to reflect on the Analytics Vidhya blog.
Choose the Data Science content you want to create and win for each published article.
This time we are considering all the topics that come under Data Engineering as special category. Following are some suggested topics:
As mentioned above, we continue to publish "Guides". Guides are intended to be a one-stop resource on specific topics in Data Engineering, Machine Learning and related topics. Since we receive multiple entries for Guides, only one Guide per topic will be published.
|A Comprehensive Guide on using KNIME||A Comprehensive Guide on Building an ETL Pipeline for Beginners||A Detailed Case Study using Geospatial Analysis||A Comprehensive Guide on Machine Learning for Mobile Devices|
|A Comprehensive Guide on Building Bots using Python||A Complete Guide on Kubernetes||A Detailed Study on Covid-19 Vaccinations data||How to deal with Sparse Datasets|
|A Comprehensive Guide on Recommendation Engines||End-to-End Predictive Analysis on Zomato||A Comprehensive Guide on Graph Neural Networks||A Comprehensive Guide on using RedShift|
|A Comprehensive Guide on Replication in Data Engineering||A Comprehensive Guide on Causal Inference||A Comprehensive Guide on Sharding in Data Engg.||A Comprehensive Guide on Neo4j|
|A Comprehensive Guide on Markov Chain||A Complete Guide on using MongoDB for Data Science||A Comprehensive Guide on Partitioning in Data Engg.||An End-to-end Guide on Anomaly Detection|
Here is an example of a Guide: K Means Clustering | K Means Clustering Algorithm in Python
Feel free to explore any topic of your choice though - the only restriction is that it should be as comprehensive as possible and should be of a minimum of 2500 words in length. It should also be on a topic in the domain of Machine Learning, Deep Learning, Data Engineering, etc.
* Note that the final consideration of guide is an editorial decision which is based on how unique your guide's topic is and how comprehensively have you explained all components of that topic.
* Note that the article will have to be technical and code-based in nature to be eligible for the above special categories. Listicles or career articles will not count.
* All International payments will be made via Paypal
* For India-based authors, Pan Card and other bank details are imperative
|Submission Type||Views||Bonus Rewards|
|Article and Guide||5000 to 15000||INR 1,000(≅USD 13)|
|>15000||INR 2,000(≅USD 26)|
|Submission Type||Rank||Winners Prize|
|Articles||INR 10,000(≅USD 133)|
|INR 5,000(≅USD 66)|
|INR 3,000(≅USD 40)|
|Guides*||INR 7500(≅USD 100) each|
Yes, you read that right! Refer and encourage your friends to publish articles in the current Blogathon and both of you stand a chance to win an extra amount.
This program is only open to all our existing authors.
This is an unmissable opportunity to get your hands on the latest Apple iPad that has the world swooning. Imagine the writing and reading you’ll be able to accomplish on this blazing fast tablet.
*Terms and Conditions Apply
Publish 3 or more articles in any Data Science Blogathon and automatically become a part of the Anaytics Vidhya Creators' Club to avail exciting benefits and prizes!
Starting from 8th April all AVCC Members will have 30 days free access to our AWS course!
Note: We update the leaderboard twice a day. There is no set time for the update per se. But check back in the afternoon and late evening to see the latest views.
Please register/login to participate in the contest
Please register to participate in the contest
Please register to participate in the contest