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PyCaret deployment on Google Cloud Platform

Deploy Machine Learning Pipeline on Google Kubernetes Engine

A beginner’s guide to train and deploy machine learning pipelines in Python using PyCaret

👉 Learning Goals of this Tutorial

  • What is a Container, What is Docker, What is Kubernetes, and What is Google Kubernetes Engine?
  • Build a Docker image and upload it on Google Container Registry (GCR).
  • Create clusters and deploy machine learning pipeline with Flask app as a web service.
  • See a web app in action that uses a trained machine learning pipeline to predict on new data points in real-time.

Read the complete post: https://medium.com/@moez_62905/deploy-machine-learning-model-on-google-kubernetes-engine-94daac85108b

  • Official : https://www.pycaret.org

  • LinkedIn : https://www.linkedin.com/company/pycaret/

  • YouTube : https://www.youtube.com/channel/UCxA1YTYJ9BEeo50lxyI_B3g

  • PyCaret's Repository : https://www.github.com/pycaret/pycaret