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Courses>Data Science>Basics of Streamlit
DevelopmentBasics of Streamlit
Price:Paid
Length:2 hours
Content type:video
level:beginner
Updated:24 February 2024
Published:22 August 2022
Similar courses
Opportunities
Courses>Data Science>Basics of Streamlit
Basics of Streamlit
4.5 (11.0)
2 hours
11 students
What you will learn
1Basics of Streamlit
2Utilizing the various components of Streamlit
3Creating projects using Streamlit
4Deploying Streamlit application
Target audiences
1Beginner python programmer and data science enthusiast
Requirements
1Basic understanding of python programing
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Creating a web app and deploying the ML model is the toughest part since most the data science enthusiasts are not familiar with web dev. But Streamlit has made the job extremely easy. Being a Data Science enthusiast, I would like to share and contribute my learnings to the community!

This course introduces you to the basics of Streamlit library. Create professional-looking web applications with python without the knowledge of HTML/CSS.

The course introduces the basic elements of streamlit:

  • Adding Text and Data to your app

  • Plotting Graphs

  • Creating layout

  • Adding widgets

  • Changing the theme of your web application

  • Create a basic web app to understand how to combine streamlit and Machine learning models.


By the end of the course, you will be able to

  • create your own web app within few hours

  • create a user interface for your ML models

  • deploy your web application

Before you begin, I would suggest you to brush up on your python skills.

I would also suggest coding along for better learning and understanding!

This course is for absolute beginners who want to understand how streamlit works.


I have tried to keep things as simple as possible and therefore you might not find me using the best coding practices.


I prefer using VS Code for coding but feel free to use your favourite editor!

Similar courses
Opportunities
Make the most out of your online education
Careertail
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All rights reserved
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Careertail
Courses>Data Science>Basics of Streamlit
DevelopmentBasics of Streamlit
Price:Paid
Length:2 hours
Content type:video
level:beginner
Updated:24 February 2024
Published:22 August 2022
Similar courses
Opportunities
Courses>Data Science>Basics of Streamlit
Basics of Streamlit
4.5 (11.0)
2 hours
11 students
What you will learn
1Basics of Streamlit
2Utilizing the various components of Streamlit
3Creating projects using Streamlit
4Deploying Streamlit application
Target audiences
1Beginner python programmer and data science enthusiast
Requirements
1Basic understanding of python programing
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

Creating a web app and deploying the ML model is the toughest part since most the data science enthusiasts are not familiar with web dev. But Streamlit has made the job extremely easy. Being a Data Science enthusiast, I would like to share and contribute my learnings to the community!

This course introduces you to the basics of Streamlit library. Create professional-looking web applications with python without the knowledge of HTML/CSS.

The course introduces the basic elements of streamlit:

  • Adding Text and Data to your app

  • Plotting Graphs

  • Creating layout

  • Adding widgets

  • Changing the theme of your web application

  • Create a basic web app to understand how to combine streamlit and Machine learning models.


By the end of the course, you will be able to

  • create your own web app within few hours

  • create a user interface for your ML models

  • deploy your web application

Before you begin, I would suggest you to brush up on your python skills.

I would also suggest coding along for better learning and understanding!

This course is for absolute beginners who want to understand how streamlit works.


I have tried to keep things as simple as possible and therefore you might not find me using the best coding practices.


I prefer using VS Code for coding but feel free to use your favourite editor!

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot