Mean Median imputation | handling missing values using SimpleImputer
Topic : How to handle missing data machine learning
we will dis cuss how we can fill missing data with mean and median. mean or median imputation basically work for numerical missing data . E.g lets say the customer does not want to give data or we can say that who ever is collecting the data might have missed it or we can say in verbal communication a lot of data is missed. So in today's video we will see how we can impute the missing data .
This particular technique mean and median imputation or simple imputation is very very easy and takes a lot less time and data analysis.
Tags:
Mean imputation
Median imputation
Mean imputation python
How to impute missing data
Missing data
Data preprocessing
Missing data analysis
Easy ways to impute missing data
How to impute missing variables in numerical variables
Feature engineering python
Mean
Median
Data analytics
Data munging