Let’s begin our understanding of implementing Logistic Regression in Python for classification. For this lecture we will be working with the Titanic Data Set from Kaggle. We’ll be trying to predict if  a passenger died or not in the accident.

We’ll use a “semi-cleaned” version of the Titanic data set, if you use the data set hosted directly on Kaggle, you may need to do some additional cleaning not shown in this lecture notebook.