You can use this notebook to download, compress and save all data in 35 min. The frame data is saved in parquet files and can be read into memory with pandas. O... See more

Hello, I haven't understood why are we using whole 5 files for testing and also It will be very helpful if the organizers share the test_df file which is genera... See more

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Hi everyone. We have been trying to process the huge data in colab or kaggle with the default resource it provides. Are there any VMs that is free to process th... See more

Hello,I see that notebooks are mentioned everywhere in the rules of the competition. Does this mean that we cannot use python scripts to train the model ? Can y... See more

Hello,There is a major hassle with utilizing proper feature engineering generation in this challenge, with the large dataset there's a time complexity. Can we s... See more

Dear @ZINDI!Could you please clarify some moments about data? Here is a screenshot from StarterNotebook: https://disk.yandex.ru/i/rJ_OYRd1Nr67KgMy questions are... See more

Hi, all!I would like to share a notebook in which I process data in such a way that it takes up about 3-4 times less space without losing information.In the fir... See more

frame vidTime timelineRatio session_id session_durationCan somebody tell me what these columns are...I'm unable to make sense of these. In few instances frame v... See more

Hello,I am looking for a teammate.Please contact me on: sunilhule4444@gmail.com Thank You.

I've been trying to download the starter notebook, it's not working. Any help?

Hi.The frame files are quite large, so I'm reading only one of them (train_frames1.csv) by now.Can you tell me why they are in separated files?Test has 1, 2, 3,... See more

Dear all,Winners for this challenge will be judged a bit differently.The client is interested in clean code and interesting ideas. To accommodate this, we will... See more