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Interactive data science projects with PyTorch, Shiny, and Pandas.

In this 4-hour course, you will learn to create interactive, data-driven applications by integrating Shiny with Python and PyTorch. The course covers building dynamic data dashboards, visualizing data, and implementing machine learning models in Shiny apps for powerful, interactive projects. What I...

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Bibliographic Details
Corporate Author: Safari, an O'Reilly Media Company
Other Authors: Erez, Ron (instructor.)
Format: Video
Language:English
Published: [Birmingham, United Kingdom] : Packt Publishing, 2025.
Edition:[First edition].
Subjects:
Python (Computer program language)
Computer programming.
Python (Langage de programmation)
Programmation (Informatique)
computer programming.
Instructional films.
Nonfiction films.
Internet videos.
Films de formation.
Films autres que de fiction.
Vidéos sur Internet.
Online Access:Connect to the full text of this electronic book
Description
Summary:In this 4-hour course, you will learn to create interactive, data-driven applications by integrating Shiny with Python and PyTorch. The course covers building dynamic data dashboards, visualizing data, and implementing machine learning models in Shiny apps for powerful, interactive projects. What I will be able to do after this course Build interactive data dashboards using Shiny and Python Visualize data dynamically with charts, histograms, and pie charts Implement machine learning models with PyTorch in Shiny apps Work with PyTorch tensors for indexing, masking, and broadcasting Upload and visualize CSV data interactively in Shiny Course Instructor(s) Dr. Ron Erez has over 30 years of programming experience and is an accomplished educator in mathematics, computer science, and English literature. He brings his passion for problem-solving and creativity into his courses, aiming to make complex concepts accessible to all learners. Who is it for? This course is ideal for data scientists, analysts, and developers who want to expand their knowledge of Python tools for data science. It's suitable for both beginners and intermediate learners interested in integrating PyTorch for machine learning with Shiny for building interactive web apps and dashboards.
Physical Description:1 online resource (1 video file (04 hr., 05 min.)) : sound, color.
Playing Time:04:05:00
ISBN:9781806668953
1806668955