Lab 1 – Classification with Logistic Regression

In this lab, you will train and evaluate a two-class logistic regression classifier model. Classification is one of the fundamental machine learning methods used in data science. Classification models enable you to predict classes or categories of a label value. Classification algorithms can be two-class methods, where there are two possible categories, or multi-class methods. Like regression, classification is a supervised machine learning technique, wherein models are trained from labeled cases. In this lab you will use the data set provided to categorize diabetes patients. The steps in this process include:  Prepare the dataset for analysis  Investigate relationships in the data set with visualization using custom R or Python code.  Create a two-class logistic classification model.  Evaluate the performance to the classification model.