Data Imputation
Explore various data imputation methods to handle missing values in datasets using scikit-learn's SimpleImputer. Understand how to replace missing data with mean, median, most frequent, or constant values, and learn about advanced imputation techniques like k-Nearest Neighbors and MICE for more complex scenarios.
We'll cover the following...
We'll cover the following...
Chapter Goals:
- Learn different methods for imputing data
A. Data imputation methods
In real life, we often have to deal with data that contains missing values. Sometimes, if the dataset is missing too many values, we just don't use it. However, if only a few of the values are missing, we can perform data imputation to substitute the missing data with some other value(s).
There are many different methods for data imputation. In scikit-learn, the ...