Everything You Need to Know to Build an Amazing Binary Classifier

There are two general types of supervised machine learning approaches in their simplest form. First, you can have a regression problem, where you're trying to predict a continuous variable, such as the temperature or a stock price. The second is a classification problem where you want to predict a categorical variable such as pass/fail or spam/ham. Additionally, we can have binary classification problems that we'll cover here with only two outcomes and multi-class classification with more than two outcomes. We want to take several steps to prepare our data for Machine Learning.