How to supercharge data exploration with Pandas Profiling
Domino Data Lab
JANUARY 21, 2021
For example: Observing the frequency of missing data across a dataset’s features often tells one which features can be used for the purposes of modeling out of the box (e.g., Computing interactions of all features on a pairwise basis can be useful for selecting, or de-selecting, for further research. There is a risk of injecting bias.
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