In our last post we demonstrated how to train and deploy machine learning models in Power BI using PyCaret. If you haven't heard about PyCaret before, please read our announcement to get a quick start. In this tutorial we will use PyCaret to develop a machine learning pipeline, that will include preprocessing transformations and a regression model to predict patient hospitalization charges based on demographic and basic patient health risk metrics such as age, BMI, smoking status etc. PyCaret is an open source, low-code machine learning library in Python to train and deploy machine learning pipelines and models in production. PyCaret can be installed easily using pip. Flask is a framework that allows you to build web applications.
May-22-2020, 20:21:27 GMT