TowardsMachineLearning

End-to-end Implementation

Topics covered-

  • Recap: Basics of MLOps
  • The principles of MLOps
  • Data Acquisition, Data Drift
  • Model Deployment, Model Monitoring , Model Retraining etc.
  • MLOps end to end Pipeline implementation on Azure