In Machine Learning, features are the inputs for a machine learning model. Feature Engineering is the process of creating features from raw data and selecting the best features for a model. However, it is not just a tool for Data Scientists - Data Analysts and Developers can use it too.

In this tutorial, we will create features that can be used for creating Data Visualizations, Rules Based Automations, and Machine Learning Models. Attendees will learn how to explore, create and select features from various data types such as “discrete/categorical” and “continuous” data. Attendees will learn techniques such as One-hot encodings for categories, text vectorization, date manipulation and more.

By the end of this tutorial, attendees will understand how to create features for their projects.