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The All-New MachineHack Offers Faster & Robust Platform For Data Science Hackathons

The All-New MachineHack Offers Faster & Robust Platform For Data Science Hackathons

Srishti Deoras
MachineHack Makes A Comeback With A Faster & Robust Platform For Data Science Hackathons
W3Schools

MachineHack platform just got faster and robust while promising to host the best hackathons on data science, machine learning and artificial intelligence. MachineHack, which is an ambitious hackathon platform by Analytics India Magazine recently launched its all-new and revamped website that offers a new interface with new improved features providing an awesome user experience to the participants. 

MachineHack was conceptualised almost 2.5 years ago with an aim to provide an online platform to data science and machine learning enthusiasts with the best-in-class hackathons to keep up with the latest skills and trends in the field. It has provided a platform to over 20,000 ML enthusiasts so far to compete and have hands-on experience with data science tools while experiencing the near real-life business use cases. 

The new platform will allow practitioners to test and practise machine learning skills while competing against hundreds of data scientists, with the industry-curated hackathons. 



The MachineHack team has been working tirelessly over the last few months to bring the best user experience for the participants. Some of the features that participants will see in the new version of the website are: 

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  • Global Leaderboard: The revamped website will host a global leaderboard or ranking displaying the name, rank, participation and final rank of all the participants. It shows since when a participant has been a user at MachineHack while placing them rank-wise inculcating a competitive spirit.  
  • Exclusive Profile for every participant to showcase as a virtual portfolio: This is a public profile, where each participant’s profile is managed in a way that can be used to showcase the skills to potential hiring managers or companies.
  • New Ranking Tiers: There will be 5 tiers of expertise on MachineHack — Grandmaster, master, champion, apprentice and novice — which will be achieved based on the quality of work in the competitions. The progression system will keep the community members to compete regularly to prove their mettle. The MachineHack global ranking page is updated each week where points awarded to every rank holder is based on the competition they have participated in. 

While the platform is still in its early stages, there will be more features that will be added in the coming weeks for budding machine learning developers to hone their skills. It currently has more than 25 hackathons that one can compete on. 

Experience the platform here.

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