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[] Udemy - Machine Learning Terminology & Process For Beginners

  • 收录时间:2022-09-10 19:28:22
  • 文件大小:2GB
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文件列表

  1. 7. Hands-On Machine Learning Using AWS Rekognition & Python/1. Complete ML Run through Project.mp4 179MB
  2. 2. Machine Learning Problem Framing/3. Machine Learning Algorithms.mp4 128MB
  3. 7. Hands-On Machine Learning Using AWS Rekognition & Python/3. Create & Training Data Model.mp4 103MB
  4. 1. Introduction/5. AWS Machine Learning Stack & AI.mp4 102MB
  5. 7. Hands-On Machine Learning Using AWS Rekognition & Python/2. Banking Data Set Upload.mp4 89MB
  6. 7. Hands-On Machine Learning Using AWS Rekognition & Python/4. Creating Predictions.mp4 79MB
  7. 2. Machine Learning Problem Framing/2. Types of Machine Learning.mp4 74MB
  8. 2. Machine Learning Problem Framing/1. Business Vs ML Problem.mp4 69MB
  9. 5. Model Training & Evaluation/2. Overfitting Vs Underfitting.mp4 62MB
  10. 3. Working With DataSets/2. Data Collection & Integration.mp4 59MB
  11. 8. Conclusion & Bonus/2. Bonus 2 AWS Preparing Data Set and Model.mp4 52MB
  12. 3. Working With DataSets/4. Data Splitting & Shuffling.mp4 51MB
  13. 4. Data Visualization & Feature Engineering/3. What Is Feature Engineering.mp4 49MB
  14. 4. Data Visualization & Feature Engineering/4. Numeric Value Binning.mp4 49MB
  15. 3. Working With DataSets/3. Data Cleaning.mp4 46MB
  16. 6. Business Goal Evaluation/2. Augmenting Your Data.mp4 42MB
  17. 1. Introduction/1. Course Promo & Instructor Bio.mp4 42MB
  18. 8. Conclusion & Bonus/3. Bonus 3 Creating Data Source in AWS.mp4 40MB
  19. 6. Business Goal Evaluation/3. Predictions.mp4 38MB
  20. 5. Model Training & Evaluation/1. Parameter Tuning.mp4 37MB
  21. 4. Data Visualization & Feature Engineering/1. What Are Features.mp4 37MB
  22. 4. Data Visualization & Feature Engineering/2. Visualization Types.mp4 35MB
  23. 3. Working With DataSets/1. Different Types of Data.mp4 34MB
  24. 1. Introduction/4. When Do You Use Machine Learning.mp4 33MB
  25. 8. Conclusion & Bonus/1. Bonus 1 Machine Learning in Azure.mp4 31MB
  26. 6. Business Goal Evaluation/1. Goal Evaluation.mp4 31MB
  27. 1. Introduction/2. Introduction - Course Agenda.mp4 30MB
  28. 1. Introduction/3. What Will I Learn.mp4 27MB
  29. 8. Conclusion & Bonus/4. Bonus Discounts.html 36KB
  30. 7. Hands-On Machine Learning Using AWS Rekognition & Python/1. Complete ML Run through Project.vtt 19KB
  31. 2. Machine Learning Problem Framing/3. Machine Learning Algorithms.vtt 18KB
  32. 1. Introduction/5. AWS Machine Learning Stack & AI.vtt 13KB
  33. 7. Hands-On Machine Learning Using AWS Rekognition & Python/3. Create & Training Data Model.vtt 12KB
  34. 2. Machine Learning Problem Framing/2. Types of Machine Learning.vtt 12KB
  35. 2. Machine Learning Problem Framing/1. Business Vs ML Problem.vtt 11KB
  36. 7. Hands-On Machine Learning Using AWS Rekognition & Python/2. Banking Data Set Upload.vtt 10KB
  37. 8. Conclusion & Bonus/3. Bonus 3 Creating Data Source in AWS.vtt 9KB
  38. 7. Hands-On Machine Learning Using AWS Rekognition & Python/4. Creating Predictions.vtt 9KB
  39. 4. Data Visualization & Feature Engineering/4. Numeric Value Binning.vtt 8KB
  40. 3. Working With DataSets/4. Data Splitting & Shuffling.vtt 8KB
  41. 5. Model Training & Evaluation/2. Overfitting Vs Underfitting.vtt 8KB
  42. 3. Working With DataSets/2. Data Collection & Integration.vtt 8KB
  43. 4. Data Visualization & Feature Engineering/3. What Is Feature Engineering.vtt 7KB
  44. 1. Introduction/2. Introduction - Course Agenda.vtt 7KB
  45. 3. Working With DataSets/3. Data Cleaning.vtt 7KB
  46. 8. Conclusion & Bonus/1. Bonus 1 Machine Learning in Azure.vtt 6KB
  47. 6. Business Goal Evaluation/2. Augmenting Your Data.vtt 6KB
  48. 4. Data Visualization & Feature Engineering/2. Visualization Types.vtt 6KB
  49. 6. Business Goal Evaluation/3. Predictions.vtt 6KB
  50. 1. Introduction/3. What Will I Learn.vtt 5KB
  51. 1. Introduction/4. When Do You Use Machine Learning.vtt 5KB
  52. 3. Working With DataSets/1. Different Types of Data.vtt 5KB
  53. 5. Model Training & Evaluation/1. Parameter Tuning.vtt 5KB
  54. 1. Introduction/1. Course Promo & Instructor Bio.vtt 5KB
  55. 6. Business Goal Evaluation/1. Goal Evaluation.vtt 5KB
  56. 4. Data Visualization & Feature Engineering/1. What Are Features.vtt 5KB
  57. 8. Conclusion & Bonus/2. Bonus 2 AWS Preparing Data Set and Model.vtt 4KB
  58. [DesireCourse.Com].url 51B