Towards the end of the 2020 summer, we held the first ever TJ National Machine Learning Open (NMLO).
The contest consisted of eight machine learning problems ranging in difficulty.
For several of the problems, we created our own datasets and environments for competitors to use. You can view the
list of problems (most of which were scored on the Kaggle Platform) here.
We very pleased that close to 80 high school students from around the world participated in the contest.
You can view the top 10 competitors here.
Some of our competitors wrote amazing technical write-ups on how they solved the aforementioned problems.
You can view them here.
If you would like to stay on the loop for the next NMLO,
which will most likely occur in the summer of 2021, please fill out this RSVP form.
Beginner Series Competitions
Decision Trees/Random Forests
In this competition, participants use medical information to predict whether a patient has a cardiovascular problem.
You can view the competition at this link.