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Udemy Machine Learning Project Build and Deploy Real AI with

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Uploader: freecoursewb
Source: 1 Logo 1337x
Downloads: 2128
Type: Tutorials
Language: English
Category: Other
Size: 2.2 GB
Added: March 2, 2026, 9:06 a.m.
Peers: Seeders: 21, Leechers: 9 (Last updated: 2 months ago)
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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1. Introduction.mp4 19.7 MB
  3. 2. Course Roadmap & Learning Path.html 1.9 KB
  4. 3. Machine Learning Concepts Quick Reference.html 7.5 KB
  5. 4. Why Ethical AI Matters.html 9.3 KB
  6. 5. Evaluation Metrics Deep Dive.html 11.7 KB
  7. 6. What is Artificial Intelligence.mp4 132.0 MB
  8. 7. Understanding AI Prompts.mp4 41.5 MB
  9. 8. Download Project Code and Dataset.html 1.1 KB
  10. 8. Download Project Code and Dataset_Resource_cyberbullying-analysis.py 18.2 KB
  11. 8. Download Project Code and Dataset_Resource_streamlit-dashboard.py 21.4 KB
  12. 8. Download Project Code and Dataset_Resource_visualizations.py 7.5 KB
  13. cyberbullying_tweets.csv 6.8 MB
  14. 10. Understanding Virtual Environments.mp4 11.6 MB
  15. 11. Creating and Activating Virtual Environments.mp4 40.7 MB
  16. 12. Updating Pip.mp4 10.3 MB
  17. 13. Visual Studio Code Setup.mp4 67.6 MB
  18. 14. Opening project in VS Code.mp4 7.4 MB
  19. 9. Installing Python on Windows.mp4 44.6 MB
  20. 15. Creating Google account.mp4 70.9 MB
  21. 16. Accessing Google Colab.mp4 103.6 MB
  22. 17. Build a Python Dictionary and Pandas DataFrame.mp4 72.5 MB
  23. 18. Create a simple Visualization.mp4 67.9 MB
  24. 19. Exploratory Data Analysis.mp4 60.3 MB
  25. 20. Installing essential Python Libraries.mp4 9.1 MB
  26. 21. Opening project directory in vs code.mp4 7.4 MB
  27. 22. Importing Essential Python Libraries.mp4 41.6 MB
  28. 23. Understanding Stop Words in NLP.mp4 57.8 MB
  29. 24. Building the Classification System Architecture.mp4 73.9 MB
  30. 25. Text Cleaning and Preprocessing.mp4 66.7 MB
  31. 26. Building an Automated Data Pipeline.mp4 87.9 MB
  32. 27. Feature Engineering - Vocabulary Analysis.mp4 67.0 MB
  33. 28. Training Our Machine Learning Model.mp4 119.5 MB
  34. 29. Evaluating Model Performance.mp4 133.0 MB
  35. 30. Analyzing Ambiguous Cases.mp4 96.5 MB
  36. 31. Testing on Real-World Examples.mp4 127.8 MB
  37. 32. Generating Analysis Reports.mp4 64.0 MB
  38. 33. Assembling the Complete System.mp4 111.8 MB
  39. 34. Creating Professional Visualizations.mp4 97.6 MB
  40. 35. Building an Interactive Dashboard.mp4 146.8 MB
  41. 36. Running Your Streamlit Application.mp4 85.9 MB
  42. 37. Creating Github Account.mp4 63.1 MB
  43. 38. Deploying to Streamlit Cloud.mp4 50.7 MB
  44. Bonus Resources.txt 70 bytes

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