I’m new to Data Science and I have a problem statement.
I’ve got three categorical variables in which one feature has missing data. I need to predict the missing values in those feature using the other ones. Which algorithm should I use to predict the values.
I need to predict the Outlet_size based on the Outlet_location_type and Outlet_type. Please guide me on which algorithm should I use to predict the values or is there any alternate ways to fill up the missing data?