Free download » Free download video courses » Learn Streamlit Python from Scratch || Streamlit Bootcamp
| view 👀:123 | 🙍 oneddl | redaktor: Delcan | Rating👍:

Learn Streamlit Python from Scratch || Streamlit Bootcamp

Learn Streamlit Python from Scratch || Streamlit Bootcamp
Learn Streamlit Python from Scratch || Streamlit Bootcamp
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 21 lectures (3h 5m) | Size: 911.1 MB

Create Beautiful Data Apps and Machine Learning Web Apps In Python Faster with Streamlit What you'll learn:
To create and deploy Web Applications using Streamlit

Requirements
Just have a basic knowledge on Python

Description
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

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

Creating cool data visualization apps

How to Build A Full Web Application with Streamlit

By the end of this exciting course, you will be able to

Build data science apps in hours not days

Productionized your machine learning models into web apps using streamlit

Build some cools and fun data apps

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-back guarantee. 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

Data scientists and ML Engineers who want to production sized their Models faster

Who this course is for
Beginner Python students who are curious about Data Science and Machine Learning
Individuals interested in building data science and machine learning applications in Python


PLEASE SUPPORT ME BY CLICK ONE OF MY LINKS IF YOU WANT BUYING OR EXTENDING YOUR ACCOUNT
https://nitro.download/view/8A93B307AE9A993/_Learn_Streamlit_Python_from_Scratch__Streamlit_Bootcamp.rar


https://rapidgator.net/file/f8795dbb215796a45d69c4b4e7a30846/_Learn_Streamlit_Python_from_Scratch__Streamlit_Bootcamp.rar.html



https://uploadgig.com/file/download/90Ebc41Ffce8c685/_Learn_Streamlit_Python_from_Scratch__Streamlit_Bootcamp.rar

⚠️ Dead Link ?
You may submit a re-upload request using the search feature. All requests are reviewed in accordance with our Content Policy.

Request Re-upload
📌🔥Contract Support Link FileHost🔥📌
✅💰Contract Email: [email protected]

Help Us Grow – Share, Support

We need your support to keep providing high-quality content and services. Here’s how you can help:

  1. Share Our Website on Social Media! 📱
    Spread the word by sharing our website on your social media profiles. The more people who know about us, the better we can serve you with even more premium content!
  2. Get a Premium Filehost Account from Website! 🚀
    Tired of slow download speeds and waiting times? Upgrade to a Premium Filehost Account for faster downloads and priority access. Your purchase helps us maintain the site and continue providing excellent service.

Thank you for your continued support! Together, we can grow and improve the site for everyone. 🌐

Comments (0)

Information
Users of Guests are not allowed to comment this publication.