A Beginners Guide to Scikit-Learn

The Scitkit-learn library provides a very large variety of pre-built algorithms to perform both supervised and unsupervised machine learning. They are generally referred to as estimators. The estimator you choose for your project will depend on the data set you have and the problem that you are trying to solve. The Scikit-learn documentation helpfully provides this diagram, shown below, to help you to determine which algorithm is right for your task. What makes Scikit-learn so straight forward to use is that regardless of the model or algorithm you are using, the code structure for model training and prediction is the same.