A great simple example on how to deal with Logistic Regression in Python utilizing Matplotlib, Seaborn, and Scikit-learn. The data is pulled from Kaggle.com and found here. Normally this comes as a test and train set, but I’m analyzing the training set only to see the accuracy of the model.
The data here is a little dirty and necessitated some data cleansing first, probably worthy of another short tutorial / post in terms of some other methods of initial cleansing before working on data…