i was smiling whle watching your video. thank you for puting smile on my face by this nice introduction. I'm intellectually thrilled and I'll join Kaggle competition!
hi! im a machine learning student, current ranked 'Contributor' in Kaggle and I intend to reach the Expert level soon. do you recommend using NN/SWA in tabular data as well?
Hi, great video, just one small doubt.. In cutmix.ipynb file there is a line "df_train['fold'] = pd.read_csv('../input/df_folds.csv')['fold']" but in preprocessing.ipynb file you have not created folds. Can you tell how you are creating folds as there are 3 targets. thanks.
Just found your channel recently and it has been a joy to watch. I have gone through all of your contents and hope that you will resume and make more in the future! Thanks
First, thanks for sharing this. This was a great help. I have a question, as this pipeline is for local setup, how to do you use GPU's that are available at Kaggle Notebooks or Google Colab, especially for hyperparameter tuning?
But once you see their notebooks how you create your own ? Because it’s would need immense knowledge to create a separate different algorithms on the notebook
