Here we can share files and work on the machine learning algorithm for the International Data Analysis Olympiad.
Online portal with all information from the organisers (datasets, example solutions, etc...)(change the language on the display of the website by clicking the flag on the top right): https://official.contest.yandex.ru/contest/10569/enter/
-Username: IDAO2019Team544
-Password: Pinned in the slack channel
Introductory code to keras, repo: https://github.com/yandexdataschool/mlhep2018/blob/master/day2-Tue/seminar-01-manual/backprop_solution.ipynb
Kaggle has interesting resources of people that did similar things to what we are trying to achieve: https://www.kaggle.com/c/trackml-particle-identification/kernels