Udemy – Learn & Deploy Data Science Web Apps with Streamlit 2022-4
Udemy – Learn & Deploy Data Science Web Apps with Streamlit 2022-4 Downloadly IRSpace

Learn & Deploy Data Science Web Apps with Streamlit is a training course for designing, developing and implementing web applications based on data science with the Streamlit framework, published by Udemy Academy. Streamlit is a framework based on the Python programming language, which is used to develop machine learning and data science applications. Applications of this framework can be used to share analytical results, build complex and interactive projects, and describe machine learning models. The Streamlit framework greatly reduces the time and costs of developing such applications.
What you will learn in Learn & Deploy Data Science Web Apps with Streamlit:
- Download and run Streamlit demo applications
- Edit demo and pre-made applications with dedicated text editors
- Organizing and sorting Streamlit applications
- Design and development of exclusive applications with Streamlit
- Data visualization and drawing charts and graphs with Streamlit
- Receiving user input data and validating them
- Editing and page layout of Streamlit web applications
- Basic installation of Streamlit
- Elements and text-based elements in Streamlit
- Display data in different ways in applications
- Various Streamlit widgets
- The final implementation of Streamlit applications on cloud spaces
- And …
Course specifications
Publisher: Udemy
Instructors: G Sudheer, Data Science Anywhere and Convolution Innovations
Language: English
Level: Introductory to Advanced
Number of Lessons: 71
Duration: 5 hours and 29 minutes
Course topics on 2022/9
Learn & Deploy Data Science Web Apps with Streamlit Prerequisites
Beginner to Python
Must know Pandas for Data Analysis
Pictures
Learn & Deploy Data Science Web Apps with Streamlit introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
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Size
1.7 GB