Interactive Data Science In Python With Shiny And Pytorch

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freecoursewb

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Tutorials

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English

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2025-06-12 01:11 (1 year, 4 months ago)

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Files

1. Get Bonus Downloads Here.url180 bytes
2. 1 - Introduction.mp44.2 MB
3. 10 - Introduction to Shiny Express for Python.mp423.6 MB
4. 2 - Input Sliders Text Output with Simple Server Logic.mp446.1 MB
5. 3 - Shiny Input Demo.mp477.4 MB
6. 4 - Using HTML to Build a Multiplication Table in Shiny Part 1.mp416.5 MB
7. 5 - Using HTML to Build a Multiplication Table in Shiny Part 2.mp440.9 MB
8. 6 - Using Shiny in VSCode and Deploying Your App.mp4130.8 MB
9. 7 - Exploring Shiny Components.mp4166.2 MB
10. 8 - Working with Action Buttons and Checkboxes.mp449.1 MB
11. 9 - Using Checkbox Groups Selectize and RowColumn Structures.mp460.1 MB
12. 11 - Using Official Shiny Demos as a Learning Tool Sidebar App.mp4112.9 MB
13. 12 - Walkthrough Shinys KDE Plot Demo Project.mp46.5 MB
14. 13 - Walkthrough Penguins Dashboard Demo by the Shiny Team.mp453.5 MB
15. 14 - Project Setup.mp437.4 MB
16. 15 - Adding the Imports.mp49.4 MB
17. 16 - Uploading a CSV File.mp427.5 MB
18. 17 - DASH-4-Displaying-Quick-Stats.mp4330.3 MB
19. 17 - Displaying Quick Stats.mp421.8 MB
20. 18 - Dynamic Column Picker for CSV Data.mp418.2 MB
21. 19 - Displaying Column Details in an Info Card.mp443.5 MB
22. 20 - Visualizing Numeric Columns with Histograms.mp437.1 MB
23. 21 - Visualizing Categorical Columns with Pie or Bar Charts.mp412.6 MB
24. 22 - Conditional Pie or Bar Charts and NoData Messaging.mp428.5 MB
25. 23 - Google Colab and tqdm.mp461.5 MB
26. 24 - How to Get Help with PyTorch.mp451.6 MB
27. 25 - Exploring Additional Help Resources.mp417.4 MB
28. 26 - Introduction to PyTorch and Tensors Part 1.mp437.2 MB
29. 27 - Introduction to PyTorch and Tensors Part 2.mp429.2 MB
30. 28 - Leveraging the GPU for PyTorch in Google Colab.mp47.6 MB
31. 29 - Understanding Mathematical Operations on Tensors.mp495.3 MB
32. 30 - Understanding Indexing and Masking in Tensors.mp450.0 MB
33. 31 - Expanding on Masking in PyTorch.mp473.3 MB
34. 32 - Cloning Tensors for Safe Operations.mp410.4 MB
35. 33 - Broadcasting in PyTorch The First Steps.mp417.3 MB
36. 34 - Broadcasting Next Steps.mp427.0 MB
37. 35 - Handson with More Broadcasting Examples.mp415.9 MB
38. 36 - Getting Started with TorchSight.mp439.7 MB
39. 37 - Adding the PyTorch and Image Processing Imports.mp426.4 MB
40. 38 - Importing the TorchVision Models.mp412.8 MB
41. 39 - Implementing the Get Model Function.mp428.1 MB
42. 40 - Image Transformations.mp426.1 MB
43. 41 - Creating the Title and Sidebar.mp432.6 MB
44. 42 - Getting the ImageNet Labels and Prompting the User for Images.mp438.4 MB
45. 43 - PyTorch Inference.mp437.5 MB
46. Bonus Resources.txt70 bytes

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