Table of Contents
Preface
1
Imputing Missing Data
Technical requirements
Removing observations with missing data
How to do it...
How it works...
See also
Performing mean or median imputation
How to do it...
How it works...
Imputing categorical variables
How to do it...
How it works...
Replacing missing values with an arbitrary number
How to do it...
How it works...
Finding extreme values for imputation
How to do it...
How it works...
Marking imputed values
How to do it...
How it works...
There’s more…
Implementing forward and backward fill
How to do it...
How it works...
Carrying out interpolation
How to do it...
How it works...
See also
Performing multivariate imputation by chained equations
How to do it...
How it works...
See also
Estimating ...
Get Python Feature Engineering Cookbook - Third Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
