Streamlit Bootcamp

Focused View

Raj Chhabria

2:15:10

177 View

1. Introduction

1.1 Welcome to the Course.pptx

1. Introduction and Welcome.mp4

01:31

2.1 Course Overview.pptx

2. Course Overview and Key Learning Outcomes.mp4

03:32

3. Installation and Setup.mp4

01:04

2. Text Elements in Streamlit

1.1 text.zip

1. Different type of Text Elements.mp4

04:07

3. Data Display Elements in Streamlit

1.1 dataframe.zip

1. Working with DataFrames.mp4

04:14

2. Tables in Streamlit.mp4

03:03

3.1 json.zip

3. JSON in streamlit.mp4

02:49

4. Chart Elements in Streamlit

1.1 linechart.zip

1. Line Chart.mp4

03:25

2.1 areachart.zip

2. Area Chart.mp4

03:16

3.1 barchart.zip

3. Bar Chart.mp4

03:05

4.1 pyplot.zip

4. Pyplot.mp4

02:52

5. Input Widgets in Streamlit

1.1 button.zip

1. Buttons.mp4

03:54

2.1 addresses.csv

2.2 download button.zip

2.3 flower.zip

2. Download Button.mp4

08:05

3. Check Box.mp4

02:47

4.1 radio button.zip

4. Radio Button.mp4

03:53

5.1 selectbox.zip

5. Select Box.mp4

02:59

6.1 slider.zip

6. Slider.mp4

07:23

7.1 text input.zip

7. Text Input.mp4

03:02

8.1 number input.zip

8. Number Input.mp4

02:04

9.1 date input.zip

9. Date Input.mp4

02:42

6. Media Items in Streamlit

1.1 images.zip

1.2 test.zip

1. Working with Images.mp4

02:06

2.1 sample.mp4

01:44

2.2 video.zip

2. Working with Videos.mp4

02:29

7. Layouts and Containers in Streamlit

1.1 sidebar.zip

1. Sidebar.mp4

04:12

2.1 columns.zip

2. Columns.mp4

04:25

3.1 expander.zip

3. Expander.mp4

03:28

8. Projects

1.1 health insurance.zip

1.2 insurance.csv

1.3 insurance.zip

1. Insurance Premium Predictor App.mp4

15:51

2.1 calories burned calculator.zip

2.2 data.csv

2. Calories Burned Calculator App Part One.mp4

06:44

3.1 app.zip

3. Calories Burned Calculator App Part Two.mp4

10:49

4.1 app.zip

4.2 stockindex.zip

4. Stock Market Index Prediction App.mp4

13:35

Description

Build beautiful web apps for your Data Science and Machine Learning projects in a fast and easy way using Streamlit.

What You'll Learn?

Building complete Web Applications from Scratch using Streamlit.
Develop Strong Skills about ALL Streamlit's Basic and Advanced Features.
Use Streamlit to create Data Science and Machine Learning Web Apps.
Learn to build beautiful User Interface for your ML models using Streamlit.

Who is this for?

Python Developers curious about Streamlit.

Data Scientists and ML Engineers who want to create a quick and beautiful user interface for their ML Models.

Anyone who wants to learn to build web apps in a fast and easy manner.

More details

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 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 streamlit
Data display elements
Layouts and Containers
How to add images and videos to your Streamlit web app
Different Chart elements like Line Chart, Bar Chart etc...
3 Complete Projects using Machine Learning and Streamlit.
Stock Market Index Prediction App
Calories Burned Calculator App
Insurance Premium Prediction App

At 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.
Who this course is for:
Python Developers curious about Streamlit.
Data Scientists and ML Engineers who want to create a quick and beautiful user interface for their ML Models.
Anyone who wants to learn to build web apps in a fast and easy manner.

User Reviews

Rating

average 0

Total votes0

Focused display

My name is Raj Chhabria and I am a Computer Science Engineer with specialization in Data Science. I am an accomplished coder and programmer, and I enjoy using my skills to contribute to student community by my Udemy Courses. Here on Udemy I intend to share my knowledge in most condensed form through my courses.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.