Introduction I am excited to announce the release of PyCaret 2.0 today. PyCaret is 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...
After talking to many data scientists who use PyCaret on a daily basis, I have shortlisted 5 features of PyCaret that are lesser-known but they extremely powerful. — Moez Ali PyCaret PyCaret is an open source machine learning library in Python to train and deploy...
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...
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, containerize it with Docker and serve it as a web application using Google Kubernetes Engine. If you haven’t...
