PyCaret PyCaret is an open-source, low-code machine learning library and end-to-end model management tool built-in Python for automating machine learning workflows. It is incredibly popular for its ease of use, simplicity, and ability to build and deploy end-to-end ML...
Introduction In this tutorial I will use PyCaret 2.0, an open-source, low-code machine learning library in Python to develop a simple AutoML solution and deploy it as a Docker container using GitHub actions. I will show you how to build and containerize your own...
Introduction Last week I have announced PyCaret 2.0, an open-source, low-code machine learning library in Python that automates machine learning workflow. It is an end-to-end machine learning and model management tool that speeds up the machine learning...
Introduction In our last post, we demonstrated how to develop a machine learning pipeline using PyCaret and serve it as a Streamlit web application deployed onto Google Kubernetes Engine. If you haven’t heard about PyCaret before, you can read...
Introduction In my last post on deploying a machine learning pipeline in the cloud, we demonstrated how to develop a machine learning pipeline in PyCaret and deploy a trained model on Heroku PaaS as a web application built using a Streamlit open-source framework. If...
Introduction In my last post on deploying a machine learning pipeline in the cloud, I demonstrated how to develop a machine learning pipeline in PyCaret, containerize the Flask app with Docker and deploy serverless using AWS Fargate. If you haven’t heard about...