Top Data Science Hackathon Platforms with Active Challenges

 


Top Data Science Hackathon Platforms with Active Challenges

Hackathons are a terrific method for computer enthusiasts—beginners or experts—to develop new skills and offer solutions. Hackathons have recently started to be used by enterprises and companies as a hiring tool. Big, mid-sized, and small businesses frequently shortlist the winners of these hackathons.



The victors of hackathons receive a variety of prizes in addition to being hired. For tech aficionados, these sites are a terrific way to stay up to date on current and upcoming trends in the AI/ML sector.


Data Science Hackthon



You can participate in data science hackathons on the following platforms to win prizes and get the attention of hiring managers.


MachineHack

MachineHack, the brainchild of Analytics India Magazine, runs multiple hackathons concurrently covering diverse themes within machine learning, deep learning, and other data engineering issues in addition to providing hundreds of courses about machine learning and data science. With the help of this online platform, develop your data science expertise by participating in hackathons organized by the industry.


There are several active hackathons on the website, and several numbers of active hackathons, including Subscriber Prediction Talent Search, Predict the News Category, Predict the Flight Ticket

, and Predict website, there are several numbers of active hackathons, including Subscriber Prediction Talent Search, Predict News Category, Predict the Flight Ticket, and Predict The Price of Books.


Kaggle

The largest online community of data scientists One of the best and most prestigious places to receive honors in data science is Kaggle. On Kaggle, hackathons range in difficulty from beginner to advanced. It is the highest honor in the data science community to earn the badge of Grandmaster, which may be obtained by consistently contributing and winning hackathons.


The NFL Big Data Bowl 2023, OTTO - Multi-Objective Recommender System, Multimodal Single-Cell Integration, and many other competitions are ongoing simultaneously for novices and specialists.

HackerEarth

HackerEarth is a website that focuses on connecting engineers and businesses. It also offers hackathons and challenges related to machine learning. Additionally, businesses can advertise their hackathons on the platform, where coders can participate in streamlining current business procedures and potentially land jobs.


The platform is currently hosting several ongoing hackathons, including the Global Hack for Web3 by CoinBase, IBM's students Contest, and the Smart Odisha Hackathon.

DataHack

DataHack offers a variety of competitions, events, and hackathons where you may compete with top machine learning professionals and data scientists and advance your skill sets to develop a data science profile. You can participate in these hackathons and compete to find solutions to both platform-hosted business challenges and real-world problems.


Predict Number of Upvotes, Food Demand Forecasting, Face Counting Challenges, and Joke Rating Prediction are a few of the ongoing hackathons on DataHack.


DrivenData

Driven Data organizes hackathons that combine data science and social impact, focusing on industries including public services, international development, health, and education. More than 50 organizations as well as thousands of individual developers who work on different projects make up the community.


Some of the society-focused hackathons that are now running on the website include The BiosMassters, Reboot: Box-Plots for Education, and DengAI: Predicting Disease Spread.




Techgig

To create a community of developers who want to contribute and advance their machine-learning skills, Techgig organizes hackathons and challenges for its readers. Experts from a variety of technology fields, including IoT, ML, User Experience, Mobility, etc., created the challenges. Any programming language that the participant prefers may be used to complete the challenges.
























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