Handling missing data

end-to-end machine learning course part 9.3.1

Handling missing data is a common task in cleaning up tabular data (Excel Sheet like, Pandas like data). Missing data analysis is an important data science task. How to address missing data is an art. It really depends on the data and the goal of the analysis.

NaN - not a number

We can encode all missing data in a consistent manner by encoding it as Nump…