Data Science Knowledge Hackathon
Prizes
1 x First Prize: Worth Rs. 7,500
2 x Second Prize: Each worth Rs. 5,000
3 x Third Prize: Each worth Rs. 2,500
Important Dates
July 19, Thu: Last date for filling this form.
Completed
.
July 20, Fri: Topic allocation to participants.
Completed
.
July 21, Sat: Hackathon kickoff and mentoring session.
Time: 2-5 PM.
Completed
.
Venue: 91springboard, Indiranagar.
Google Map
.
July 28, Sat: Hackathon finals.
Time: 2-6 PM
Venue: WeWork EGL.
Google Map
.
RSVP on Meetup
.
Rules
You can work alone or as a team of 2-3 people. Each person must have a separate login account on
Devopedia.org
. However, you need to fill this registration form only once per team.
Please create an account at Devopedia.org before filling this form. Email addresses at Devopedia.org should match the email address fields you fill in this form.
You have the option of selecting up to 8 different topics. You will be assigned one of them. If many request the same topics, allocation will be based on first-come-first-served basis. In rare cases, you may not get your preference. Requests for reallocation of topic will not be entertained.
A person can be part of only one team; that is, can work on only one topic.
All submissions must be online at Devopedia.org.
Authors can see the work of others since Devopedia is an open platform. Anyone trying to sabotage the submissions of others will be disqualified.
All communication will be via emails using the email addresses registered at Devopedia.org.
Attendance at the mentoring session is optional. Participants must be present for the finals for evaluation and prize distribution. Each group should present their article to the audience. Exactly 8 minutes will be given for each group. No Q&A allowed during presentation.
Evaluation will be done by three judges. Audience voting will also be done and normalized. All normalized scores are on a scale of 1-10. Final score is the total of scores from three judges and audience.
Evaluation Criteria
Conformance: Submission must not deviate too much from the guidelines published at
https://devopedia.org/site-map/author-guidelines
. In particular, we have adopted three core content guidelines from Wikipedia to enable smooth collaboration:
(a) Neutral point of view: don't take sides and write based on facts.
(b) No original research: content must be published elsewhere first on a site or source of good technical repute.
(c) Verifiability: anyone should be verify the content by looking at cited sources.
Clarity: Since Devopedia articles are for beginners, explanations should be clear. Use simple language. Use short sentences. Define acronyms and technical terms where introduced.
Organization: Are the questions are written in a logical order? Does the whole article read well as one unit?
Length: Article must have a minimum word count of 800 words to qualify as a valid entry. Word count is displayed on the article page.
Media: The selection of images or videos adds value to the article. Media should help readers understand the concepts better. Media need not be original creations. You can use non-copyrighted media from the web. Cite the sources with attribution.
Milestones: Do the milestones provide high-level view of the way the technology has progressed?
Spelling, grammar, emphasis: Check for these.
Tags and See Also: Are these sections properly filled and relevant to the article?
No plagiarism: Content should not be copy-paste from a single source. It can be reworded or summarized content from multiple complementary sources.
Tips for Authors
Author Guidelines
: a mandatory read for authors.
Chicago Manual of Style (Author-Date system)
: used for citing reference sources.
When doing a Google search for relevant content, these extra keywords may help: intro, basics, tutorial, history, milestones, alternatives, pros and cons, problems, case studies, tools, techniques, etc.
Some sample articles to get an idea about what an article should contain:
(a)
https://devopedia.org/data-science
(b)
https://devopedia.org/machine-learning
(c)
https://devopedia.org/exploratory-data-analysis
(d)
https://devopedia.org/probability-for-data-scientists
Should be Empty: