Download Complete Guide to Data Science Applications with Streamlit

Description

Complete Guide to Data Science Applications with Streamlit is a training course for developing web applications based on machine learning and data science with the Python programming language and the Streamlit framework, published by Udemy Academy. Professionally analyzing data and building machine learning models is only one part of the process of developing machine learning applications. Displaying these data and models in different formats and sharing them is another matter. Streamlit is an open source framework based on the Python programming language that can simplify and accelerate the time-consuming and complex process of developing machine learning and data science applications for us.

To develop Streamlit applications, you do not need any background knowledge in front-end development and programming, and you can start your work from scratch. Among the most important advantages of the Streamlit framework is the use of Python programming language syntax and modules of this language, the possibility of quickly designing and displaying various widgets, quick and easy implementation of applications, compatibility with most data science and learning frameworks. He pointed out the car and…

What you will learn in the Complete Guide to Data Science Applications with Streamlit training course:

Powerful NumPy library
Integration of Matplotlit and Seaborn libraries in Streamlit applications
Various Streamlit widgets
Upload and process files in Streamlit
Development of an application based on natural language processing approaches
And …

Course details

Publisher: Yudmi
teacher: Derrick Mwiti and Namespace Labs
English language
Training level: introductory to advanced
Number of courses: 151
Training duration: 9 hours and 45 minutes