Data Preprocessing with scikit-learn -- Missing Values

By popular demand from my previous article, in this tutorial I illustrate how to preprocess data using scikit-learn, a Python library for machine learning. Data preprocessing transforms data into a format which is more suitable for estimators. In my previous articles I illustrated how to deal with missing values, normalization, standardization, formatting and binning with Python pandas. In this tutorial I show you how to deal with mising values with scikit-learn. For the other preprocessing techniques in scikit-learn, I will write other posts.