Data Science Blogathon - 28

• The content of your article(s) shall be unique and not published anywhere else.
• Each article will be strictly checked for plagiarism, paraphrasing, and spun.
• The article must have 1000 words, failing which they will be rejected.
• You are free to make as many submissions as you want. But don’t make multiple submissions of the same article.
• All the image sources and article references shall be cited at the end of the submission.
• The submissions will close on February 3rd, 2023, 23:59 IST (GMT +5:30 hrs)
• You are not allowed to re-publish any of your articles elsewhere.
• We monitor the traffic on each article regularly. Analytics Vidhya holds the right to remove all suspicious traffic.
• Analytics Vidhya has the right to disqualify/reject any submission.
• The decision for all the awards, as declared by Analytics Vidhya, would be final.
• While submitting article the author agrees to take the responsibility and liability of taking due permissions from the respective sources from where they are taking the illustrations(data, tables, figures) which are propriety or not free to use or belonging to some other publication (any scientific journal, paper or article) elsewhere. 
• Analytics Vidhya under no circumstances will be held responsible for unauthorized usage of content (parts of your article, illustrations, tables, charts) copied from other sources. The article will be taken down if any claim about any content in your article is made, by the authentic sources and the claim is found to be reasonable.

What are the Prizes on Offer?

Base Price

*Base price for publish articles from 25th January 2023 to 3rd February

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

* Special Topics: MLOps, Web 3.0, Blockchain, Interview Questions, Data Engineering (Specific Topics)

*Note: Will be considering following topics only as special category topics:

Note: Not Accepting the Below Topics: 

• Linear Regression
• Logistic Regression
• K-Means 
• LSTMs
• Face Detection

Guides: One-stop resource on specific 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.

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.

A New Submission Category - Project-based Article

Are you bored of writing theoretical articles? Analytics Vidhya is introducing a new category for you to brush up on your core concepts and enlighten our readers with detailed projects you must have worked on end to end using an actual dataset!

Guidelines

• Project Description: A broad context should be provided for the project, as well as its relevance to the industry (highlighting where such a project would be useful for the industry)
• Problem Statement: Well-defined statement about the task we want to achieve in the project and how it will be measured.
• Prerequisites: The prerequisites to complete the project should be mentioned at the beginning of the article. e.g., for a detailed exploratory data analysis project, knowledge about matplotlib could be a prerequisite. 
• Dataset description in detail if used and mention the source of data
• Each Dataset should have 50K - 1 Lakh rows minimum. If the dataset contains images, it should be 20K rows.
• The article should be a minimum of 3000 words in length
• There should be an end-to-end solution that includes code, outputs, and documentation.
• The documentation must describe each step clearly, giving the reason or intuition for each step, and provide detailed inferences drawn from the outputs of each step  (analysis/model building, etc.).
• The code should be clearly explained using in-code comments or docstrings. 
• The entire code should preferably be hosted on a GitHub repo which is publicly accessible.

Note: Project-based articles will take 3-4 working days to review and provide feedback.

Here is an example of a Project-based Article: Twitter Sentiment Analysis- A NLP Use-Case for Beginners

Note: We will prefer projects on the above topics rather than regular classification/ regression problems. Duplication of the dataset will not be accepted in this blogathon.

Rewards Based on Views: Bonus Rewards

Winners Prize

• 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

Lucky Draw! - Stand a Chance to Win an iPad (9th Gen)!*

You read that right - you even stand an opportunity to win the new iPad (9th Gen)! 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.

*Terms and Conditions Apply

* 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