Streamlit Bootcamp

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

4.57 (175 reviews)
Udemy
platform
English
language
Data Science
category
instructor
25,334
students
2 hours
content
Jan 2023
last update
$74.99
regular price

What you will 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.

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.

Content

Introduction

Introduction and Welcome
Course Overview and Key Learning Outcomes
Installation and Setup

Text Elements in Streamlit

Different type of Text Elements

Data Display Elements in Streamlit

Working with DataFrames
Tables in Streamlit
JSON in streamlit

Chart Elements in Streamlit

Line Chart
Area Chart
Bar Chart
Pyplot

Input Widgets in Streamlit

Buttons
Download Button
Check Box
Radio Button
Select Box
Slider
Text Input
Number Input
Date Input

Media Items in Streamlit

Working with Images
Working with Videos

Layouts and Containers in Streamlit

Sidebar
Columns
Expander

Projects

Insurance Premium Predictor App
Calories Burned Calculator App Part One
Calories Burned Calculator App Part Two
Stock Market Index Prediction App

Screenshots

Streamlit Bootcamp - Screenshot_01Streamlit Bootcamp - Screenshot_02Streamlit Bootcamp - Screenshot_03Streamlit Bootcamp - Screenshot_04

Reviews

Akash
September 24, 2023
All concept was valuable. My concept is clear about streamlit topics. All 4 projects help me to understand all the cconceptsery well. I will request to upload on sklearn Library lecture.
Vinod
July 15, 2023
The course is very good in terms of quick and concise course material. Only thing that could be added as a value addition is to create a new project which shows basic customization of all the elements taught in the couse. This is a very important addon and will increase the course value tremendously.
Ashraful
May 27, 2023
This is an excellent road map for learning Streamlit. The instructor explains things in such a simple manner that everyone may understand it.
Dharmendra
February 22, 2023
Familiar with concept how to design web app using Streamlit. I understand the ins and out and test practically on its own. I also try to design some more prototype wen app using Stremlit. Teaching methodology is very clear easy to understand Thanx

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5021180
udemy ID
12/12/2022
course created date
1/19/2023
course indexed date
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