A logistic regression is a model that is appropriate to use when the dependent variable is binary, i.e. 0s and 1s, True or False, Yes or No. The logistic regression is part of the regression analysis library and could therefor be interpreted as a predictive analytics model.

Welcome to the home of Classy Data! Here we are going to examine the world of data science while looking at interesting findings and walking through machine learning examples. In addition to machine learning and AI, we are also going to be looking at other tools that are used in the data science and analytics space, such as dashboard visualization and cloud computing. First of all, I’d like to introduce myself. My name is Stian Ulriksen. I am located in Denver, CO at the foothills of the Rocky Mountains. Currently I am working as a Data Scientist Consultant for a consulting company where we help clients with everything from migrating to the cloud, all the way to deep learning data science projects. As I am a big fan of Python, this blog will mostly focus on examples written in Python (sorry you R lovers out there). If that sounds good…