Data-Science-For-Beginners/5-Data-Science-In-Cloud/18-tbd

Low code/No code Data Science in the Cloud

Table of contents:

• Low code/No code Data Science in the Cloud
  • Pre-Lecture Quiz
  • 1. Introduction
    • 1.1 The Heart Failure Prediction Project
    • 1.2 The Heart Failure Dataset
  • 2. Low code/No code training of a model in Azure ML Studio
    • 2.1 Create an Azure ML workspace
    • 2.2 Compute Resources
      • 2.2.1 Choosing the right options for your compute resources
      • 2.2.2 Creating a compute cluster
    • 2.3 Loading the Dataset
    • 2.4 Low code/No Code training with AutoML
  • 3. Low code/No Code model deployment and endpoint consumption
    • 3.1 Model deployment
    • 3.2 Endpoint consumption
  • 🚀 Challenge
  • Post-Lecture Quiz
  • Review & Self Study
  • Assignment

Pre-Lecture Quiz

Pre-lecture quiz

1. Introduction

1.1 The Heart Failure Prediction Project

1.2 The Heart Failure Dataset

2. Low code/No code training of a model in Azure ML Studio

2.1 Create an Azure ML workspace

2.2 Compute Resources

2.2.1 Choosing the right options for your compute resources

2.2.2 Creating a compute cluster

2.3 Loading the Dataset

2.4 Low code/No Code training with AutoML

3. Low code/No Code model deployment and endpoint consumption

3.1 Model deployment

3.2 Endpoint consumption

🚀 Challenge

Post-Lecture Quiz

Post-lecture quiz

Review & Self Study

Assignment

Assignment Title