Udemy – The Complete Guide to Data Science Applications with Streamlit 2021-1 – Download

Explanation

The Complete Guide to Data Science Applications with Streamlit is a training course on machine- and science-based web application development with the Python programming language and the Streamlit framework, published by Udemy Academy. Professional analysis and building of car models is part of the car application development process. Presenting 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 and complex development of machine and science applications.

To develop Streamlit applications, you don’t need any knowledge in front of development and programming, and you can start your work from scratch. One of the most important features of the Streamlit framework is the use of the syntax of the Python programming language and components of this language, the ability to quickly design and display various widgets, easy and fast execution of applications, compatibility with data science models used can. . He pointed to the car and…

What you’ll learn in The Complete Guide to Data Science Applications with Streamlit:

The powerful NumPy library
Integration of Matplotlit and Seaborn libraries for Streamlit applications
Various Streamlit widgets
Download and run files from Streamlit
Application development based on natural language processing methods
And…

Course guidelines

Publisher: Udemy
Instructors: Derrick Mwiti and Name Labs
Language: English
Level: Introductory to Advanced
Number of Lessons: 151
Duration: 9 hours and 45 minutes