Streamlit Bootcamp

Udemy Bootcamp USD 19.99
Enroll now →
Streamlit Bootcamp

About this course

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 easy to create and share beautiful, custom web apps for machine learning and data science that can be used to share analytics results, build complex interactive experiences, and illustrate new machine learning models. In just a few minutes you can build and deploy powerful data apps.On top of that, developing and deploying Streamlit apps is incredibly fast and flexible, often turning application development time from days into hours.In this course you will learn:Different input types in streamlitData display elementsLayouts and ContainersHow to add images and videos to your Streamlit web appDifferent Chart elements like Line Chart, Bar Chart etc...3 Complete Projects using Machine Learning and Streamlit.Stock Market Index Prediction AppCalories Burned Calculator AppInsurance Premium Prediction AppAt the end of the course, you will have built several applications that you can include in your Data Science and Machine Learning portfolio. You will also have a new skill to add to your resume.After completing this course you will be able to quickly build web apps and dashboards for your Data Science and Machine Learning Projects using Streamlit.

What you'll learn

  • different input types in Streamlit
  • data display elements
  • layouts and containers
  • adding images and videos to apps
  • creating various chart types like line and bar charts
  • building a stock market prediction app
  • creating a calories burned calculator
  • developing an insurance premium prediction app

Course objectives

  • enable students to quickly build web apps and dashboards
  • equip students with new skills for their resumes
  • provide practical project experience

Skills you'll gain

Related courses

Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.