Basics of Streamlit
Basics of Streamlit, available at $19.99, has an average rating of 4.5, with 9 lectures, based on 2 reviews, and has 15 subscribers.
You will learn about Basics of Streamlit Utilizing the various components of Streamlit Creating projects using Streamlit Deploying Streamlit application This course is ideal for individuals who are Beginner python programmer and data science enthusiast It is particularly useful for Beginner python programmer and data science enthusiast.
Enroll now: Basics of Streamlit
Summary
Title: Basics of Streamlit
Price: $19.99
Average Rating: 4.5
Number of Lectures: 9
Number of Published Lectures: 9
Number of Curriculum Items: 9
Number of Published Curriculum Objects: 9
Original Price: ₹799
Quality Status: approved
Status: Live
What You Will Learn
- Basics of Streamlit
- Utilizing the various components of Streamlit
- Creating projects using Streamlit
- Deploying Streamlit application
Who Should Attend
- Beginner python programmer and data science enthusiast
Target Audiences
- Beginner python programmer and data science enthusiast
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:
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Adding Text and Data to your app
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Plotting Graphs
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Creating layout
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Adding widgets
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Changing the theme of your web application
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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
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create your own web app within few hours
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create a user interface for your ML models
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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!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction to Streamlit
Chapter 2: Displaying text, data and plots using Streamlit
Lecture 1: Displaying text
Lecture 2: Displaying data
Lecture 3: Displaying plots
Chapter 3: Adding widgets, sidebar and layouts
Lecture 1: Adding widgets
Lecture 2: Sidebar, Navigation bar and Status
Lecture 3: Adding layouts
Lecture 4: Change colour scheme of the app
Chapter 4: First web app using Streamlit
Lecture 1: Basic Salary Predictor App
Instructors
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Harsh Gupta
Python Enthusiast
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 1 votes
- 5 stars: 1 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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!
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