Handle missing data with Python: part 1 | dropna, fillna

Published: 19 June 2020
on channel: skill bits

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Missing data? In this tutorial we'll learn how to handle them with Python and Jupyter Notebook. Basic functions to identify missing values and drop or fill them will be presented.
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link to code: https://github.com/Skill-Bits/missing...
link to dataset: https://www.kaggle.com/rtatman/animal...

Timestamps:
1:09 investigate missing values with isnull()
1:50 delete missing values with dropna()
4:11 replace missing values with fillna()

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