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Streamlit : Deploy your Data & ML app on the web with Python
Create in a few hours a great interactive web application and deploy your data or AI model worldwide with Python!
This Course Includes
udemy
4.2 (11 reviews )
4.5 total hours 
english
Online - Self Paced
course
Udemy
About Streamlit : Deploy your Data & ML app on the web with Python
Have you ever felt the frustration of having developed a great Machine Learning model on your Jupyter Notebook and never being able to test it against real-world use?
That's the core value proposition of Streamlit:
To be able to deploy your Data project on the web so that the whole world can use it through your own web application!
Thus, all your Data projects will come to life!
You will be able to :
Share your beautiful image classifier so that other people can use your model by uploading their own images.
Deploy the sentiment score of Elon Musk's latest tweets in real time with NLP.
Or make interactive dashboards for your corporate teams with an authentication system to restrict access to only a few people.
I developed this course after dozens of people contacted me to know how I developed a real-time train reservation web application used by more than 10 000 people. Because yes, you can use streamlit for any kind of application and not only for data / AI applications!
In short, hundreds of use cases are possible with streamlit!
The great thing about it is that all you need is some knowledge of Python.
And that no skills in web development, data engineering or even cloud are necessary.
This course is divided into 2 parts:
An exercise part where we will see all the fundamentals of Streamlit, from connecting to a database system, through the creation of the interface and finally the part on deployment in the cloud!
A second part dedicated to the training project: Development and production of a tracking and analysis application for S&P5O0 stocks, including the visualization of stock price evolution and the calculation of performance indicators. The data will be requested via an API.
Take your data projects to the next level with Streamlit!
Enjoy the training :)
PS : This course is the english version of another french course on streamlit that I put on udemy.
What You Will Learn?
- How to use Streamlit.
- Develop and deploy a Data application to share a Machine Learning models on the web.
- Scrape data in real time with an API (Yahoo Finance).
- Using the Cloud with Streamlit Cloud.
- Create an attractive user interface (UI / UX).
- Structure your Python program for web development.
- Know how to optimize a Streamlit application (Cache / Session / Form...).
- Using Git and Github to version your code.
- Overcome the Jupyter Notebook and bring your Data project to life.