MTS ML Cup 2023 solution

This repository contains a solution for MTS ML Cup 2023. The score is 1.731 on public and 1.735 on private. The models applied take either a vector of user's features (including embeddings): TabNet, GBDT or their interactions histories (a CNN with attention). The embeddings were trained with ALS, Word2Vec, Node2Vec and matrix decomposition.