Description

ARE YOU LOOKING A FAST AND EASY WAY TO CREATE WEB APPS AND DASHBOARDS FOR YOUR DATA SCIENCE AND MACHINE LEARNING PROJECTS THEN THIS IS THE PERFECT COURSE FOR YOU.

Streamlit is an open-source Python library that makes it straightforward to create and share lovely, customized net apps for machine studying and information science that can be utilized to share analytics outcomes, construct complicated interactive experiences, and illustrate new machine studying fashions. In just some minutes you possibly can construct and deploy highly effective information apps.

On prime of that, growing and deploying Streamlit apps is extremely quick and versatile, usually turning utility growth time from days into hours.

On this course you’ll be taught:

  • Completely different enter sorts in streamlit

  • Information show parts

  • Layouts and Containers

  • How one can add pictures and movies to your Streamlit net app

  • Completely different Chart parts like Line Chart, Bar Chart and many others…

  • 3 Full Initiatives utilizing Machine Studying and Streamlit.

  • Inventory Market Index Prediction App

  • Energy Burned Calculator App

  • Insurance coverage Premium Prediction App

On the finish of the course, you should have constructed a number of functions that you may embrace in your Information Science and Machine Studying portfolio. Additionally, you will have a brand new ability so as to add to your resume.

After finishing this course it is possible for you to to shortly construct net apps and dashboards on your Information Science and Machine Studying Initiatives utilizing Streamlit.

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