I’m working on a machine learning project, and I’m dealing with missing data in my dataset. I’ve heard that imputation using the mean/median/mode is a common technique to handle missing values. However, I’m not quite sure how to implement it in Python using Scikit-Learn.
Can anyone provide some guidance on how to impute missing values using mean/median/mode in Scikit-Learn? Also, are there any potential drawbacks or limitations to this technique that I should be aware of?
I’m using a dataset from Scikit-Learn, specifically the diabetes dataset. Here’s how I loaded the data:
Any help would be greatly appreciated! Thank you in advance.