4: Implement ML Projects

4: Implement ML Projects

About this Course

As you learned in the previous courses, the machine learning workflow presents a repeatable process of six steps that can be followed for any machine learning project. It shows how companies are implementing ML to maximize their business results and discusses the importance of on-going project monitoring. This course focuses on the second, implementation phase, of the machine learning workflow.

What's Covered

  • Project Plan Overview
  • Step 4: Algorithm and Framework Selection
  • Step 5: Model Training and Validation
  • Step 6: Implementation to Production and Monitoring
  • Quiz

 

Curriculum16 min

  • Project Plan Overview 1 min
  • Step 4 - Algorithm and Framework Selection 3 min
  • Step 5 - Model Training & Validation 5 min
  • Step 6 - Implementation to Production & Monitoring 7 min
  • Quiz

About this Course

As you learned in the previous courses, the machine learning workflow presents a repeatable process of six steps that can be followed for any machine learning project. It shows how companies are implementing ML to maximize their business results and discusses the importance of on-going project monitoring. This course focuses on the second, implementation phase, of the machine learning workflow.

What's Covered

  • Project Plan Overview
  • Step 4: Algorithm and Framework Selection
  • Step 5: Model Training and Validation
  • Step 6: Implementation to Production and Monitoring
  • Quiz

 

Curriculum16 min

  • Project Plan Overview 1 min
  • Step 4 - Algorithm and Framework Selection 3 min
  • Step 5 - Model Training & Validation 5 min
  • Step 6 - Implementation to Production & Monitoring 7 min
  • Quiz

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