What's new
Warez.Ge

This is a sample guest message. Register a free account today to become a member! Once signed in, you'll be able to participate on this site by adding your own topics and posts, as well as connect with other members through your own private inbox!

Learn & Deploy Data Science Web Apps with Streamlit | Udemy

tut4dl

Active member
yLUSYPO.png
Learn & Deploy Data Science Web Apps with Streamlit | Udemy
English | Size: 1.28 GB
Genre: eLearning​

What you'll learn
Create powerful streamlit apps
Create beautiful web app in minutes
Build Web App without knowing anything on HTML, CSS, Javascrip
Develop Web Apps in Python
Develop data science web app

Welcome to the course Learn Streamlit for Data Science

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, we start out with the Streamlit basics. We will learn how to download and run demo Streamlit apps, how to edit demo apps using our own text editor, how to organize our Streamlit apps, and finally, how to make our very own. Then, we will explore the basics of data visualization in Streamlit. We will learn how to accept some initial user input, and then add some finishing touches to our own apps with text. At the end of this course, you should be comfortable starting to make your own Streamlit applications.

In particular, we will cover the following topics:

Why Streamlit?

Installing Streamlit

Organizing Streamlit apps

Streamlit plotting demo

Making an app from scratch

Who this course is for:
Data Scientist who want to present Data Analysis and machine learning models

yMNlxlr.png

DnAn0tn.png

Code:
https://nitro.download/view/DD3CBE58B3BE1C5/SS-LearnandDeployStreamlitforDataScienceWebApps.14.3.1.part1.rar
https://nitro.download/view/8CFFCE9D4A270EC/SS-LearnandDeployStreamlitforDataScienceWebApps.14.3.1.part2.rar
https://nitro.download/view/E4305AEAAEE6811/SS-LearnandDeployStreamlitforDataScienceWebApps.14.3.1.part3.rar
https://nitro.download/view/A8750B5240EC1C6/SS-LearnandDeployStreamlitforDataScienceWebApps.14.3.1.part4.rar
lzLY3aA.png

Code:
https://rapidgator.net/file/5ecf99468c2eb9174ee7cb5b14e22c82/SS-LearnandDeployStreamlitforDataScienceWebApps.14.3.1.part1.rar.html
https://rapidgator.net/file/83a0fd59cbf89b01b452a4f3f6423777/SS-LearnandDeployStreamlitforDataScienceWebApps.14.3.1.part2.rar.html
https://rapidgator.net/file/8bde67532a1deec1c9673414fb09d586/SS-LearnandDeployStreamlitforDataScienceWebApps.14.3.1.part3.rar.html
https://rapidgator.net/file/d95e75c29d7757483dca45dc5e5d1f80/SS-LearnandDeployStreamlitforDataScienceWebApps.14.3.1.part4.rar.html
If any links die or problem unrar, send request to
Code:
https://forms.gle/e557HbjJ5vatekDV9
 

Users who are viewing this thread

Back
Top