Feature Engineering

Feature Engineering of late has become one of the most prominent topics in 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.

EDA, Feature Engineering, and Modeling 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