Completed
Data Set and Preprocessing
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Productionizing Machine Learning Pipelines with Databricks and Azure ML
Automatically move to the next video in the Classroom when playback concludes
- 1 Introduction
- 2 Local Environment Configuration
- 3 Virtual Environment Configuration
- 4 Poetry
- 5 Bundled Fault
- 6 Project Layout
- 7 Business Logic Code
- 8 Azure ML Workspace
- 9 Code Block
- 10 Authentication
- 11 Creating the Cluster
- 12 Running the Code
- 13 Attaching Databricks to Compute Target
- 14 Mounting Blob Store to Databricks
- 15 Setting up Databricks Connect
- 16 Running Databricks Connect
- 17 Data Set and Preprocessing
- 18 Tensorflow Training
- 19 Code Overview
- 20 ML Flow Source Code
- 21 Getting the Best Model
- 22 Registering the Model
- 23 Testing the Model
- 24 Azure ML Pipelines
- 25 Pipeline Infrastructure Code
- 26 Continuous Integration Phase
