Streamlit Bootcamp by Marwat Tech |
Streamlit Bootcamp
What are you going to learn?
- Build complete web applications from scratch with Streamlit.
- Develop strong skills around basic and advanced Streamlit features.
- Use Streamlit to build data science and machine learning web applications.
- Learn how to create a beautiful user interface for your ML models with Streamlit.
Need
- Basic knowledge of the Python programming language.
- Basic knowledge of data science and machine learning.
- Basic knowledge of Panda, Nambi and Matplotlib.
identification
If you are looking for a quick and easy way to create web applications and dashboards for data science and machine learning projects, this is the course for you.
Streamlit is an open source Python machine learning and data science library that makes it easy to create and share beautiful, customizable web applications that can be used to share analytics results, create complex interactive experiences, and develop new machine learning for building applications. used to describe. Build and deploy powerful data applications in minutes.
In addition, the development and deployment of Streamlit applications is incredibly fast and flexible, often reducing application development time from days to hours.
In this course you will learn:
The different input types in Streamlight
data display elements
configuration and containers
Add photos and videos to the Streamlit web app
Various graph elements like line graph, bar chart, etc…
3 projects completed using machine learning and StreamLit.
Prediction app for stock market indices
Calorie burn calculator app
App for predicting insurance premiums
By the end of the course, you will have developed several applications that you can add to your Data Science and Machine Learning portfolio. You also get a new skill to add to your resume.
After completing this course, you will be able to quickly build web applications and dashboards using Streamlit for data science and machine learning projects.
Who is this course for:
Python developers are excited about Streamlit.
Data scientists and ML engineers who want to create fast and elegant user interfaces for their ML models.
Anyone who wants to learn how to create web applications quickly and easily.
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