Recommendation Engine

About the Event

Recommendation Engine

Recommending the questions that a programmer should solve given his/her current expertise is a big challenge for Online Judge Platforms but is an essential task to keep a programmer engaged on their platform.

In this practice problem, you are given the data of programmers and questions that they have previously solved along with the time that they took to solve that particular question.

As a data scientist, your task is to build a model that can predict the time taken to solve a problem given the user current status.

This model will help online judges to decide the next level of questions to recommend to a user.

Resources

Participate in Discussion

0/100
Loading...

0/1000

no comment
null

Registration Details

269 :21 :03 :05

Till event ends

6785

Registered till now

0

Number of teams

Know where you stand

Past Hackathons

Card cap

Started on 07 Mar 2025 - Ended on 18 Mar 2025

AI Battlefield

Prize: Win upto 1 Lakh*

company logo
Card cap

Started on 19 Nov 2015 - Ended on 03 May 2024

Black Friday Data Hack

Amazon vouchers worth ~$ 300

company logo
Card cap

Started on 02 Feb 2024 - Ended on 11 Feb 2024

WNS Triange Hackquest

Cash Prizes upto 600000 INR/7200 USD

company logo
Card cap

Started on 24 Jan 2023 - Ended on 31 Dec 2023

Query Domain Classification

Knowledge and Learning

company logo
Card cap

Started on 29 Sep 2023 - Ended on 14 Oct 2023

Phir Ek Mauka Hack: Ind vs Pak Cricket Hackathon

Prize Pool: 50k INR + 6L INR Worth GenAI Programs

company logo
Card cap

Started on 29 Sep 2023 - Ended on 08 Oct 2023

The Sledge Hack: Ind vs Aus Cricket Hackathon

Prize Pool: 50k INR + 6L INR Worth GenAI Programs

company logo
;

Hear From Our Community

Best Knowledge Portal for Data Science

AV is one of the best knowledge portal for Data Science I know about and certainly the best in India. It caters to the need of all sorts of people, from beginners to well experienced professionals. The articles are in-depth in nature and cover wide-variety as well which is very difficult to find else where. Discuss portals help people to clarify their doubts while hackathons give a flavor of real world experience. Thank you AV and keep up the good work.!

Excellent Opportunity for Anyone

Analytics Vidhya hackathons are an excellent opportunity for anyone who is keen on improving and testing their data science skills. The portal offers a wide variety of state of the art problems like – image classification, customer churn, prediction, optimization, click prediction, NLP and many more. I have participated in many hackathons and they have been a significant contributor in improving my machine learning skills. These hackathons have real time submission and evaluation feature and you can always feel the competition heat on the leader-board. Hackathons also provide an immense opportunity for learning from other’s, as winner’s approach and code is shared at the end of the hackathon. I won the Barcelona water demand prediction hackathon and it boosted my confidence and network significantly.

Learnt a Lot

I learnt a lot by participating in various Hackathons conducted by Analytics Vidhya during last three years. One obvious benefit is given a dataset I can intuitively understand what works best which I apply in real life problems efficiently. My strategy in any Hackathon is to understand the dataset, feature engineering and cross validation. I try ensembling, hyper parameter tuning or stacking only if I have time. I believe feature engineering and cross validation is more important than your choice of algorithms.

My Guide and Mentor

I started my journey in analytics in August 2014 through an online course. Then came AV which gave a newbie like me a platform when my first article was published.Thereafter the association with AV has grown to AV being my guide and mentor. There is no dearth of analytics resources on the web but when you get it from experts in the Indian analytics space with a clear business problem in mind-there is nothing like it.The easy to understand language used to explain the most complex of subjects in data science is one of the cornerstones of the AV blog.The one place I know I will find answers to my questions and gain knowledge is AV. In the language of Data Science AV is an ensemble of many experts which bring out what is best for the community. :)

Thinking out of box

Right from college, I liked to participate in competitions and Analytics Vidhya helped me compete amongst the finest people. Now, even as I'm working as a full time data scientist, I still like to give it my best during these short yet intense competitions as it helps me think out of the box and get the best out of myself. I usually start with looking at the data and checking the distribution of features and target variables which involves a lot of group by commands. Once I settle for an initial feature set, I train a basic model to see where I am in the leaderboard. From there on it can go to completely revamping the model to use some new methodologies or tuning the model and features.

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!

logo

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!

logo

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!

logo

10.4K

Frequently Asked Questions

Find the answers for the most frequently asked questions

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.

Depending on the type of competition, you can participate individually or in a team.

You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.

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.

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.

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.

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details