Completed
Tecton Feature Store - FEAST
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
An AI Engineer Technical Guide to Feature Store with FEAST
Automatically move to the next video in the Classroom when playback concludes
- 1 Video Start
- 2 Feature Store content intro
- 3 Feature Store - What is it, and how it helps?
- 4 Feature store - Details
- 5 Google Feature Store - Vertex
- 6 DataBricks Feature Store
- 7 Tecton Feature Store - FEAST
- 8 Feature Store Definition
- 9 Jupyter Notebook: Feast Installation/Init
- 10 Understanding Source Data
- 11 Setting Feature Store - Creating registry catalog and online store
- 12 Feast Architecture Review after hands-on example
- 13 Online store sqlite review
- 14 Transforming the feature values from source data
- 15 Understanding Online and offline store
- 16 Features added to online store validation
- 17 Machine Learning with online features
- 18 Saving Model
- 19 Using historical data and saved model to score
- 20 Content Review
- 21 GitHub review to Jupyter Notebook
- 22 Plans to use Postgresql in place of sqllite as online store
- 23 Credits
