Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
By utilizing pandas and various datasets about the living conditions in different cities, we are able to determine the optimal city for the user to live in based on their preferences.
This project
A program where people can select locations they are interested in, factors they would like to consider and gain higher points (percentages) when the location and their interests align
Applies reinforcement learning to make the best out of stock market
coming up!
Understanding the correlation of climate anomalies using MATLAB spatio-temporal regression
Ever wondered how your height compares against other? Find out now!
Find Your City of Gold!
73 – 80 of 80
