Machine Learning Starter Program Hackathon

The Machine Learning Starter Pack is a step-by-step online starter program to learn the basics of Machine Learning, hear from industry experts and data science professionals, and apply your learning in machine learning hackathons!

This is the perfect starting point to ignite your fledging machine learning career and take a HUGE step towards your dream data scientist role. 

If you haven't enrolled to the program already, Don't wait! 

We are providing this program free of cost to support learners from all over the world to maximise their learning while staying at home in the prevailing conditions for 14 days from the day of enrollment!

Enroll Now!

To enhance and compliment your learning, here is an exciting machine learning problem to apply your knowledge and monitor your progress by tracking your progress on the leaderboard.

Rules

• One person cannot participate with more than one user accounts.
• You are free to use any tool and machine you have rightful access to.
• You can use any programming language or statistical software.
• You are free to use solution checker as many times as you want.

FAQs

1. Are there any prizes/AV Points for this contest?

This contest is purely for learning and practicing purpose and hence no participant is eligible for prize or AV points. 

 

2. Can I share my approach/code?

Absolutely. You are encouraged to share your approach and code file with the community. There is even a facility at the leaderboard to share the link to your code/solution description.

 

3. I am facing a technical issue with the platform/have a doubt regarding the problem statement. Where can I get support?

Join the AV slack channel by clicking on 'Join Slack Live Chat' button and ask your query at channel: janata_hack.

 

4. Where can I find the dataset and problem statement for this hackathon?

You may download the dataset and access the problem statement from the problem statement tab on this page itself once the contest goes live. If you are still facing any issue please post your query with screenshot at the slack channel