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

Format:

Video

Contributor:

Erez, Ron, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Python (Computer program language).

Computer programming.

Physical Description:

1 online resource (1 video file (04 hr., 05 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2025.

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.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

1-80666-895-5

OCLC:

1553678489