Explanation
Learn and Deploy Data Science Web Apps with Streamlit is a training course for designing, developing and implementing data science-based web applications with the Streamlit framework, published by Udemy Academy. Streamlit is a framework based on the Python programming language, which is used for developing machine learning and data science applications. Applications of this model can be used to share analysis results, build complex interactive projects, and define machine learning models. The linear model significantly reduces the time and costs of developing such applications.
What you will learn in Learn and Enter Data Science Web Programs with Transparency:
- Download and run the Streamlit demo applications
- Edit demo and pre-made applications with custom text editors
- Organizing and sorting simple applications
- Design and develop custom applications with Streamlit
- Visualize data and draw charts and graphs with Streamlit
- Receiving user input data and verifying them
- Editing and page layout for Streamlit web applications
- Basic installation of Streamlit
- Text-based objects and objects in Streamlit
- Display data in different ways in applications
- Various Streamlit widgets
- Final implementation of Streamlit applications in cloud environments
- And…
Course guidelines
Publisher: Udemy
Instructors: G Sudheer, Ubiquitous Data Science and Convolution Innovation
Language: English
Level: Introductory to Advanced
Number of Lessons: 71
Duration: 5 hours and 29 minutes
Course topics 2022/9
Learn and Install Science Web Apps with Simplified Requirements
Getting started with Python
Must be familiar with Pandas for Data Analysis
Pictures
Learn and Deploy Data Science Web Apps with a straightforward introduction
installation guide
After the launch, watch your favorite player.
English language
Quality: 720p
download link
Password file: free download software
size
1.7GB