What’s the best way to start learning machine learning in Python?

Automated feature engineering with featuretools is a complicated concept built on simple ideas.
Using concepts of entitysets, entities, and relationships, featuretools can perform deep feature synthesis to create new features.
Deep feature synthesis in turn stacks feature primitives — aggregations, which act across a one-to-many relationship between tables, and transformations, functions applied to one or more columns in a single table — to build new features from multiple tables.