Julia, thank you so much for your contribution to data science education with open sources and tools.
@haraldurkarlsson1147
3 жыл бұрын
I would love to see this sort of analysis for university administrators. I think most would be quite shocked when comparing their "compensation" to the faculty for instance.
@sarash5061
2 жыл бұрын
I'm a radio astronomer and doing data science too 🥰🥰🥰
@andredevera8673
3 жыл бұрын
Thank you for this!
@BusinessScience
3 жыл бұрын
You got it Andre!
@andredevera8673
3 жыл бұрын
💪🏻💪🏻‼️
@marcogelsomini7655
2 жыл бұрын
rowwise aggregation metric is niice, thx!
@haraldurkarlsson1147
3 жыл бұрын
Like the fact that Julia has a rigorous background in science. I think that training is too often missing amongst those who label themselves as "Data Scientists".
@BusinessScience
3 жыл бұрын
Yes, Julia is awesome!!
@Insipidityy
3 жыл бұрын
Is there a reason why the data didn't go through the initial_split() before preprocessing?
@mkklindhardt
3 жыл бұрын
Is it possible to include a CatBoost model in the workflowsets? I have the treesnip package installed to allow it to be recognised.. ?
@BusinessScience
3 жыл бұрын
You'll need to also install catboost. Instructions here: catboost.ai/docs/concepts/r-installation.html
@mkklindhardt
3 жыл бұрын
I keep getting Warning: All models failed. See the `.notes` column. error when I run/tune my workflowsets..
@BusinessScience
3 жыл бұрын
Yikes. Not sure, I would try simply fitting one model, and reviewing the error messages to see what's going on.
@mkklindhardt
3 жыл бұрын
Thank you! This was great inspiration. Question. I am a bit unsure about the grid = 15 argument you specify..? How does this influence my RF and XGB model tunings? When I run my workflowsets I get the following errors, that I don't really know how to interpret: [1] Warning: No tuning parameters. `fit_resamples()` will be attempted and the Error: 2 of 15 resampling: normalized_knn failed with preprocessor 1/1, model 1/1 (predictions): [2] Error: Problem with `mutate()` column `.row`.ℹ `.row = orig_rows`.ℹ `.row` must be size 710 or 1, not 723. What might be the reason? I also experienced this error message only for impute_knn_RF and impute_knn_XGB [3] Some tuning parameters require finalization but there are recipe parameters that require tuning. Please use `parameters()` to finalize the parameter ranges. What does it actually mean? Any help is helpful! Thank you!
@BusinessScience
3 жыл бұрын
grid = 15 is to build grid of 15 parameter combinations. I teach a lot of this stuff in my courses if you'd like to learn in depth how to do data science with R. university.business-science.io/p/5-course-bundle-machine-learning-web-apps-time-series
@PA_hunter
2 жыл бұрын
I think you could try replacing 15 with tune()
@mahdip.4674
3 жыл бұрын
Thanks for video. But seems the info on Python was not very precise.
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