Solution to the competition based on:
- extensive EDA,
- synthetic intermediate task of finding certain artifacts in time series - which is solved by 1d-convolutional neural network,
- aggregated predictions of NN for raw time series and predictions of a linear model trained on simple statistical features - stacked via LightGBM.
Please download competition data into the input directory and see the working directory for notebooks.