Taking care of Missing Data In R for Data Science - Detechtor

In the previous tutorial, we learned how to import the Dataset and import the libraries. Now, we're finally going to start preparing the data so that our machine learning models run correctly. In most cases, you are going to have to deal with the problem of dealing with missing data. In statistics, missing data, or missing values, occur when no data value is stored for the variable in an observation. It happens really often so you need to know to take care of missing data.