Data Science Blogathon - 18

The 18th edition of the Data Science Blogathon has concluded and here is the list of winners by the Views their articles got:

1. suvojit3: An Introduction to Creating Stylized Sketches of Faces using JojoGAN
2. datanuts:Face Recognition System Using Python
3. kingabzpro:A Beginner’s Guide to Get Productive With FastDS!

List of winners in the Guides category: 

1. kajal56: Learn How to Build Face Detection System
2. mrinal41 : A Comprehensive Guide On Pygal – The Next Generation Data Visualization Library In Python
3. kashish1 :Know all About 2D and 3D Pose Estimation!

Embracing Women in Data Science: Top 10 Women Authors (who are eligible for extra reward)
amrutha1807	devashreem
aarti56	kavita65
suvarna3	Surbhi_22
srivani2607	nityashree3
saniyaK18	prachi.prakash

Data Science Blogathon: Special Rewards for Women!

Having published approximately 2000 articles on various topics in Data Science, Machine Learning, Deep Learning, Data Engineering, etc., we continue to be the talk of the town! Over 700 authors from all over the world are a part of our thriving community. Are you ready to join this international community?

Did you know?

Women make up only approximately 15% to 22% of all data science professionals, according to Global Gender Gap Report by WEF. Analytics Vidhya aims to do its bit and bridge this gap through this Blogathon. Scroll down to know more!

What are the Prizes on offer?

Choose the Data Science content you want to create and win for each published article.

* 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!

* 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

What's at stake?

• The top 3 Articles will be judged based on the number of unique pageviews
• The top 3 Guides will be judged by the editorial team
• As we're celebrating Women in this Blogathon, we would be rewarding Top 10 Women Authors by adding INR 1500 to their final amount.
  
  

* 3 Guides (Chosen by Editors)

And that's not all! More Prizes!

A New Submission Category - Guides!

As mentioned above, we continue to publish "Guides". Guides are intended to be a one-stop resource on specific topics in Data Science, Machine Learning and related topics. Since we receive multiple entries for Guides, only one Guide per topic will be published.

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, Data Science, Deep Learning, Data Engineering, etc.

Please 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.

A Special Award Category - Win the new iPad!

You read that right - you even stand an opportunity to win the new iPad! Every author in the blogathon will be eligible to win an iPad through a lucky draw where a single winner will be chosen!

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.

How do I Participate?

To enter the competition, just press the register button above. Once the competition starts on March 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 6 hours for the article to reflect on the Analytics Vidhya blog.

What are the important dates & deadlines?

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.