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4 resources
A platform for data science competitions, public datasets, and collaborative notebooks to practice machine learning.
Why I recommend it: Competitions, public datasets, and notebooks are free; heavy compute or private datasets need a paid plan.
A high school quant and finance league where students learn, compete, research, and connect around investing, quantitative analysis, and financial careers.
Why I recommend it: A great entry point for young people curious about quantitative finance. Even if you are not in high school, the competition structure is a model for how to learn by doing.
Delivers entrepreneurship education to middle school, high school, and college students worldwide, with curriculum, business plan competitions, and educator training.
Why I recommend it: Their pitch competitions are the fastest way to find out whether an idea survives contact with an audience.
Public AI red-teaming arena where anyone can try to break frontier models in timed challenges.
Why I recommend it: A legitimate portfolio line for AI-security work: document what you tried and what broke, not just your score.
