Interactive Data Science Projects with PyTorch, Shiny, and Pandas: Build Interactive Data Science Apps with PyTorch, Shiny, and Pandas in Python

Ron Erez

Can$139.99

Video Nov 2025 4hrs 5mins 1st Edition

Ron Erez

Can$139.99

Video Nov 2025 4hrs 5mins 1st Edition

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Key benefits

Interactive dashboards and data visualizations using Shiny and Python
Machine learning integration with PyTorch and Shiny for image classification
Hands-on projects with CSV data analysis and dynamic visualizations

Description

In this course, you’ll master the tools required to create interactive, data-driven applications. The course begins by introducing Shiny for Python, focusing on input/output manipulation, server logic, and deploying apps. You'll learn to visualize data dynamically using sliders, buttons, and checkboxes, while building an interactive multiplication table using HTML. As you move through the course, you’ll use official Shiny demos to deepen your understanding and then create a CSV Data Dashboard in Shiny. You’ll learn to upload, display, and visualize CSV data, including histograms, bar charts, and pie charts, providing dynamic interactivity for data exploration. The course also dives into PyTorch, covering fundamentals like tensors, indexing, and broadcasting, and teaches you how to perform image classification using TorchSight with Shiny. By the end of the course, you’ll have the skills to integrate machine learning models into Shiny apps, creating powerful, interactive data science projects.

Who is this book 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 perfect for those interested in learning how to integrate PyTorch for machine learning with Shiny for building interactive web apps and dynamic data dashboards. Previous experience with Python is beneficial but not required, as the course covers fundamentals and practical applications, making it suitable for beginners and intermediate learners alike.