Building a Stock Prediction Dashboard with Taipy, Machine Learning, and Data Visualization

Building a Stock Prediction Dashboard with Taipy, Machine Learning, and Data Visualization

Python Simplified via YouTube Direct link

- intro

1 of 24

1 of 24

- intro

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Building a Stock Prediction Dashboard with Taipy, Machine Learning, and Data Visualization

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  1. 1 - intro
  2. 2 - environment setup and wireframe
  3. 3 - images and text
  4. 4 - vertical group of elements part block
  5. 5 - date range selector
  6. 6 - horizontal group of elements layout
  7. 7 - dropdown selector
  8. 8 - download dataset from Kaggle
  9. 9 - install cuDF Pandas via GPU [optional]
  10. 10 - fill GUI placeholders with dataset values
  11. 11 - on change function
  12. 12 - add icons for dropdown elements
  13. 13 - basic Taipy scenarios logic presentation
  14. 14 - configure input and output data nodes
  15. 15 - configure task
  16. 16 - configure scenario
  17. 17 - initialize scenario orchestrator
  18. 18 - define function for scenario task
  19. 19 - write inputs, submit scenario and read outputs
  20. 20 - display graph with plotly
  21. 21 - display multiple functions in one graph
  22. 22 - on init function
  23. 23 - split timeseries data into features and targets
  24. 24 - Linear Regression, KNN, RNN

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