Scikit-learn is a powerful machine learning library that’s a great place for beginners to get their feet wet. Here’s a guide to getting started with it.
This guide introduces you to a suite of classification performance metrics in Python and some visualization methods that every data scientist should know.
Data scientists need to have a good understanding of how to select the best features when it comes to model building. This guide will help you get started.
To make the most of machine learning for their clients, data scientists need to be able to explain the likely factors behind a model's predictions. Python offers multiple ways to do just that.
