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Udemy Build a Diabetes Dashboard with Python Streamlit and ML

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Downloads: 1098
Type: Tutorials
Language: English
Category: Other
Size: 883.5 MB
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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1 - Introduction - What we'll create in this course!.mp4 8.5 MB
  3. 2 - Anaconda Download Instructions.mp4 48.2 MB
  4. 3 - Download Link for Jupyter Files.html 324 bytes
  5. 3 - Opening the Files in Jupyter.mp4 24.7 MB
  6. 4 - Explanation of the Dataset.mp4 19.3 MB
  7. 4 - Python Crash Course.html 340 bytes
  8. 1 - Coding Basic Commands.mp4 23.7 MB
  9. 2 - Uploading Basic Commands to App - Part 1.mp4 34.1 MB
  10. 3 - Uploading Basic Commands to App - Part 2.mp4 23.6 MB
  11. 1 - Histograms and KDEs.mp4 48.8 MB
  12. 1 - Why Visualize Data.html 1.2 KB
  13. 2 - Adding Histograms to Webapp.mp4 20.8 MB
  14. 3 - Adding KDEs to Webapp.mp4 41.7 MB
  15. 4 - Scatterplots.mp4 33.7 MB
  16. 5 - Subplots.mp4 33.8 MB
  17. 6 - Heatmaps and Correlations.mp4 46.6 MB
  18. 7 - Data Cleaning.mp4 39.9 MB
  19. 8 - Adding Scatterplots, Correlation Heatmap, and Cleaned Data to App.mp4 31.9 MB
  20. 1 - Logistic Regression Theory.mp4 42.1 MB
  21. 2 - Logistic Regression in Jupyter.mp4 50.3 MB
  22. 3 - Extra! In-Depth, Explained Logistic Regression in Jupyter.mp4 48.7 MB
  23. 4 - Explanation of Metrics.mp4 59.1 MB
  24. 5 - Dictionaries Crash Course - Skip if familiar with Python dictionaries.html 2.2 KB
  25. 5 - Logistic Regression in Streamlit.mp4 68.4 MB
  26. 6 - Decision Tree Classifier Theory.mp4 43.7 MB
  27. 6 - Supervised vs. Unsupervised Learning.html 2.5 KB
  28. 7 - Decision Trees in Jupyter.mp4 28.0 MB
  29. 8 - Decision Trees in Streamlit.mp4 32.0 MB
  30. 1 - Extra App Lecture Deploying your app through GitHub.mp4 31.9 MB
  31. 1 - Extra ML Lecture What is overfitting.html 1.4 KB
  32. Bonus Resources.txt 70 bytes

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