Learn Streamlit Python from Scratch || Streamlit Bootcamp
Learn Streamlit Python from Scratch || Streamlit Bootcamp, available at $44.99, has an average rating of 4.45, with 21 lectures, based on 13 reviews, and has 61 subscribers.
You will learn about To create and deploy Web Applications using Streamlit This course is ideal for individuals who are Beginner Python students who are curious about Data Science and Machine Learning or Individuals interested in building data science and machine learning applications in Python It is particularly useful for Beginner Python students who are curious about Data Science and Machine Learning or Individuals interested in building data science and machine learning applications in Python.
Enroll now: Learn Streamlit Python from Scratch || Streamlit Bootcamp
Summary
Title: Learn Streamlit Python from Scratch || Streamlit Bootcamp
Price: $44.99
Average Rating: 4.45
Number of Lectures: 21
Number of Published Lectures: 21
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 21
Original Price: ₹3,999
Quality Status: approved
Status: Live
What You Will Learn
- To create and deploy Web Applications using Streamlit
Who Should Attend
- Beginner Python students who are curious about Data Science and Machine Learning
- Individuals interested in building data science and machine learning applications in Python
Target Audiences
- Beginner Python students who are curious about Data Science and Machine Learning
- Individuals interested in building data science and machine learning applications in Python
Are you having difficulties trying to build web applications for your data science projects? Do you spend more time trying to create a simple MVP app with your data to show your clients and others? Then let me introduce you to Streamlit – a python framework for building web apps.
Welcome to the coolest online resource for learning how to create Data Science Apps and Machine Learning Web Apps using the
awesome Streamlit Framework and Python.
This course will teach you Streamlit – the python framework that saves you from spending days and weeks creating
data science and machine learning web applications.
In this course, we will cover everything you need to know concerning streamlit such as
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Fundamentals and the Basics of Streamlit ;
– Working with Text
– Working with Widgets (Buttons, Sliders,
– Displaying Data
– Displaying Charts and Plots
– Working with Media Files (Audio, Images, Video)
– Streamlit Layouts
– File Uploads
– Streamlit Static Components
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Creating cool data visualization apps
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How to Build A Full Web Application with Streamlit
By the end of this exciting course, you will be able to
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Build data science apps in hours not days
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Productionized your machine learning models into web apps using streamlit
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Build some cools and fun data apps
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Deploy your streamlit apps using Docker, Heroku, Streamlit Share, and more
Join us as we explore the world of building Data and ML Apps.
At the end of the course, you will have built several applications that you can include in your data science portfolio. You will also have a new skill to add to your resume.
The course also comes with a 30-day money-backguarantee. Enroll now and if you don’t like it you will get your money back no questions asked.
Who this course is for:
-
Beginner Python Developers curious about Streamlit
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Data scientists and ML Engineers who want to production sized their Models faster
Course Curriculum
Chapter 1: Introduction to the Course
Lecture 1: Introduction to the Learn Streamlit Python from Scratch Course.
Chapter 2: Part1 – Introduction And Basics of Streamlit
Lecture 1: Introduction And Setting up Streamlit
Lecture 2: Using textual functions in Streamlit
Lecture 3: Displaying DataFrames and Code Snippets in Streamlit
Lecture 4: Adding Widgets in Streamlit
Lecture 5: Adding Media Files in Streamlit
Lecture 6: Getting Input from the User
Lecture 7: Understanding Beta Columns function in Streamlit
Lecture 8: Using Data Visualization Libraries in Streamlit – Seaborn, Matplotlib and Plotly
Chapter 3: Part2: Creating a Single Paged Web App using Streamlit
Lecture 1: Intro to Creating a Single Paged Web App
Lecture 2: Overview on our BMI APP
Lecture 3: Creating our Single Paged BMI APP using Streamlit
Chapter 4: Part3: Capstone project – Creating a Multi Paged Web app using Streamlit.
Lecture 1: Overview on our Multi Paged Web app
Lecture 2: Overview on Structuring our Streamlit Web App
Lecture 3: Structuring our Web App
Lecture 4: Structuring our Descriptive Analytics Sub page
Lecture 5: Structuring our Plots Sub page
Lecture 6: Explaining How to Build our Machine Learning Model for Prediction
Lecture 7: Structuring our Prediction Page
Lecture 8: Using our ML Model for Prediction inside Streamlit
Lecture 9: Deploying Our Streamlit
Instructors
-
Adith Sreeram
Junior Data Scientist
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 3 votes
- 5 stars: 8 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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