Building Your First Data Science Project in Microsoft Azure

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Building  Your  First  Data  Science  Project  Microsoft  Azure  
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Files
  1. 01. Course Overview/01. Course Overview.mp4 3.08MB
  2. 01. Course Overview/01. Course Overview.srt 8.25KB
  3. 02. Meet Azure Machine Learning/01. Introducing Microsoft Azure Machine Learning.mp4 14.35MB
  4. 02. Meet Azure Machine Learning/01. Introducing Microsoft Azure Machine Learning.srt 22.84KB
  5. 02. Meet Azure Machine Learning/02. Introducing Globomantics Case Study.mp4 2.16MB
  6. 02. Meet Azure Machine Learning/02. Introducing Globomantics Case Study.srt 6.37KB
  7. 02. Meet Azure Machine Learning/03. Getting the Best out of This Course.mp4 4.14MB
  8. 02. Meet Azure Machine Learning/03. Getting the Best out of This Course.srt 15.36KB
  9. 02. Meet Azure Machine Learning/04. Outline of the Course.mp4 1.30MB
  10. 02. Meet Azure Machine Learning/04. Outline of the Course.srt 4.68KB
  11. 03. Starting a Data Science Project/01. A Walkthrough of Model Development.mp4 7.44MB
  12. 03. Starting a Data Science Project/01. A Walkthrough of Model Development.srt 24.75KB
  13. 03. Starting a Data Science Project/02. What Is an ML Workspace-.mp4 3.57MB
  14. 03. Starting a Data Science Project/02. What Is an ML Workspace-.srt 11.17KB
  15. 03. Starting a Data Science Project/03. Demo- Create an ML Workspace.mp4 10.23MB
  16. 03. Starting a Data Science Project/03. Demo- Create an ML Workspace.srt 29.02KB
  17. 03. Starting a Data Science Project/04. A Preview on Development Environments.mp4 11.21MB
  18. 03. Starting a Data Science Project/04. A Preview on Development Environments.srt 29.09KB
  19. 03. Starting a Data Science Project/05. Demo- Setting up the Local Environment Part1.mp4 10.74MB
  20. 03. Starting a Data Science Project/05. Demo- Setting up the Local Environment Part1.srt 24.54KB
  21. 03. Starting a Data Science Project/06. Demo- Setting up the Local Environment Part2.mp4 18.73MB
  22. 03. Starting a Data Science Project/06. Demo- Setting up the Local Environment Part2.srt 35.89KB
  23. 03. Starting a Data Science Project/07. Demo- Configuring a DSVM Environment.mp4 9.75MB
  24. 03. Starting a Data Science Project/07. Demo- Configuring a DSVM Environment.srt 23.07KB
  25. 03. Starting a Data Science Project/08. Demo- Using Compute Instances.mp4 14.18MB
  26. 03. Starting a Data Science Project/08. Demo- Using Compute Instances.srt 34.67KB
  27. 03. Starting a Data Science Project/09. Key Takeaways and Tips.mp4 3.28MB
  28. 03. Starting a Data Science Project/09. Key Takeaways and Tips.srt 8.55KB
  29. 04. Preparing a Data Science Model for Deployment/01. Planning the Next Steps- Training and Deployment.mp4 12.73MB
  30. 04. Preparing a Data Science Model for Deployment/01. Planning the Next Steps- Training and Deployment.srt 38.34KB
  31. 04. Preparing a Data Science Model for Deployment/02. Demo- Using Curated Environments for Training.mp4 24.07MB
  32. 04. Preparing a Data Science Model for Deployment/02. Demo- Using Curated Environments for Training.srt 52.60KB
  33. 04. Preparing a Data Science Model for Deployment/03. Demo- Using System-managed Environments for Training.mp4 23.95MB
  34. 04. Preparing a Data Science Model for Deployment/03. Demo- Using System-managed Environments for Training.srt 56.14KB
  35. 04. Preparing a Data Science Model for Deployment/04. Demo- Using User-managed Environments for Training.mp4 12.72MB
  36. 04. Preparing a Data Science Model for Deployment/04. Demo- Using User-managed Environments for Training.srt 31.69KB
  37. 04. Preparing a Data Science Model for Deployment/05. Key Takeaways and Tips.mp4 3.46MB
  38. 04. Preparing a Data Science Model for Deployment/05. Key Takeaways and Tips.srt 8.90KB
  39. 05. Implementing Responsible ML/01. What Do We Mean by Responsible ML-.mp4 8.88MB
  40. 05. Implementing Responsible ML/01. What Do We Mean by Responsible ML-.srt 27.41KB
  41. 05. Implementing Responsible ML/02. Demo- Diabetes Model Interpretability.mp4 30.63MB
  42. 05. Implementing Responsible ML/02. Demo- Diabetes Model Interpretability.srt 60.22KB
  43. 05. Implementing Responsible ML/03. Demo- Analize Fairness in Our Diabetes Model.mp4 31.05MB
  44. 05. Implementing Responsible ML/03. Demo- Analize Fairness in Our Diabetes Model.srt 68.09KB
  45. 05. Implementing Responsible ML/04. Key Takeaways and Tips.mp4 5.16MB
  46. 05. Implementing Responsible ML/04. Key Takeaways and Tips.srt 11.94KB
  47. building-first-data-science-project-microsoft-azure.zip 264.32MB