Feature engineering

Feature Engineering is an essential part of Machine Learning. It is the process of transforming raw data into features that better represent the underlying problem to the predictive models, resulting in improved model accuracy on unseen data.

Explore how features can be engineered with the power of Flyte.

Feature Engineering Task Description
EDA and Feature Engineering With Papermill How to use Jupyter notebook within Flyte
Data Cleaning and Feature Serving With Feast How to use Feast to serve data in Flyte