Transforming your Jupyter Notebook to a Reproducible Machine Learning Pipeline using Kale

Kubeflow is an open source, cloud-native MLOps platform built on top of Kubernetes. Kubeflow is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable, and scalable. Kubeflow KALE (Kubeflow Automated Pipelines Engine) enables you to deploy Jupyter Notebooks that are running on your laptop or in the cloud to Kubeflow Pipelines seamlessly. In this session, we will convert a Jupyter notebook based on customer churn prediction into a Kubeflow pipeline using Kale. Our goal is to build and deploy a reproducible customer churn pipeline using Kubeflow Kale.

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[muhammadshaheer]

Can you guys make a video on how to install kale? I tried to use it via extension manager but I am having a lot of dependencies errors.