Create a web application for your visualizations with dash.
Have you ever created some awesome visualizations with Jupyter notebook and you wish you could build an app for it. Well, worry no more as you can do this and more with dash.
Dash is a productive Python framework for building web analytic applications.
Written on top of Flask, Plotly.js, and React.js, Dash is ideal for building data visualization apps with highly custom user interfaces in pure Python. It’s particularly suited for anyone who works with data in Python.
Through a couple of simple patterns, Dash abstracts away all of the…
An introduction to Machine Learning Operation (MLOps) using Kubernetes
Why build machine learning models if they are just going to sit on your Jupyter notebook without getting into production. I mean why train athletes if they are just going to sit in their hostel rooms. Most ML models never make it to production, mostly because of operational difficulties or because the models are not consistent with applicable regularizations and laws.
ML Operations, or MLOps, is the process of operationalizing data science by getting your ML models into production. Operationalizing models means not only reducing their friction in the deployment of…