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[ ] Udemy - The Complete Intro to Machine Learning with Python

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  • 文件大小:2GB
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文件列表

  1. ~Get Your Files Here !/6. Introduction to ML/1. Goals and Types of Machine Learning.mp4 206MB
  2. ~Get Your Files Here !/7. Linear Regression/3. Implementation Part 1.mp4 191MB
  3. ~Get Your Files Here !/4. Pandas/2. Implementation.mp4 174MB
  4. ~Get Your Files Here !/8. Logistic Regression/1. Logistic Regression Theory.mp4 133MB
  5. ~Get Your Files Here !/9. Decision Trees/2. Splitting Algorithms.mp4 100MB
  6. ~Get Your Files Here !/7. Linear Regression/1. Linear Regression Theory.mp4 97MB
  7. ~Get Your Files Here !/5. Seaborn/3. Implementation.mp4 96MB
  8. ~Get Your Files Here !/7. Linear Regression/2. Ordinary Least Squares (OLS).mp4 90MB
  9. ~Get Your Files Here !/5. Seaborn/1. Distribution and Matrix Plots.mp4 89MB
  10. ~Get Your Files Here !/10. Neural Networks/6. Backpropagation.mp4 89MB
  11. ~Get Your Files Here !/4. Pandas/1. Pandas Basics.mp4 87MB
  12. ~Get Your Files Here !/9. Decision Trees/4. Implementation.mp4 84MB
  13. ~Get Your Files Here !/1. Welcome to the Course/1. Introduction.mp4 83MB
  14. ~Get Your Files Here !/2. Python Review/3. Implementation.mp4 82MB
  15. ~Get Your Files Here !/3. Numpy/2. Implementation.mp4 81MB
  16. ~Get Your Files Here !/2. Python Review/1. Variable Types.mp4 75MB
  17. ~Get Your Files Here !/2. Python Review/2. Lists and Functions.mp4 74MB
  18. ~Get Your Files Here !/8. Logistic Regression/2. Logistic Regression Metrics and Implementation.mp4 68MB
  19. ~Get Your Files Here !/5. Seaborn/2. Categorical Plots, Regression Plots, and GridsStyle.mp4 66MB
  20. ~Get Your Files Here !/3. Numpy/1. Numpy Basics.mp4 59MB
  21. ~Get Your Files Here !/9. Decision Trees/1. Terminology.mp4 55MB
  22. ~Get Your Files Here !/10. Neural Networks/5. Gradient Descent.mp4 54MB
  23. ~Get Your Files Here !/7. Linear Regression/4. Implementation Part 2.mp4 50MB
  24. ~Get Your Files Here !/10. Neural Networks/7. Implementation.mp4 36MB
  25. ~Get Your Files Here !/10. Neural Networks/4. Activation Functions.mp4 35MB
  26. ~Get Your Files Here !/10. Neural Networks/3. What are neural networks.mp4 27MB
  27. ~Get Your Files Here !/10. Neural Networks/2. Origins of Neural Networks.mp4 26MB
  28. ~Get Your Files Here !/9. Decision Trees/3. Random Forests.mp4 22MB
  29. ~Get Your Files Here !/10. Neural Networks/1. Intro to Neural Networks.mp4 11MB
  30. ~Get Your Files Here !/5. Seaborn/3.1 Seaborn Implementation.ipynb 579KB
  31. ~Get Your Files Here !/9. Decision Trees/4.1 Decision Tree Implementation.ipynb 355KB
  32. ~Get Your Files Here !/7. Linear Regression/3.1 Linear Regression Implementation.ipynb 137KB
  33. ~Get Your Files Here !/7. Linear Regression/4.1 Linear Regression Implementation.ipynb 137KB
  34. ~Get Your Files Here !/7. Linear Regression/3. Implementation Part 1.srt 37KB
  35. ~Get Your Files Here !/3. Numpy/2.1 Numpy Implementation.ipynb 27KB
  36. ~Get Your Files Here !/6. Introduction to ML/1. Goals and Types of Machine Learning.srt 26KB
  37. ~Get Your Files Here !/4. Pandas/2.1 Pandas Implementation.ipynb 26KB
  38. ~Get Your Files Here !/2. Python Review/3. Implementation.srt 25KB
  39. ~Get Your Files Here !/5. Seaborn/1. Distribution and Matrix Plots.srt 19KB
  40. ~Get Your Files Here !/5. Seaborn/3. Implementation.srt 19KB
  41. ~Get Your Files Here !/2. Python Review/3.1 Python Implementation.ipynb 19KB
  42. ~Get Your Files Here !/4. Pandas/2. Implementation.srt 18KB
  43. ~Get Your Files Here !/3. Numpy/2. Implementation.srt 17KB
  44. ~Get Your Files Here !/7. Linear Regression/1. Linear Regression Theory.srt 16KB
  45. ~Get Your Files Here !/7. Linear Regression/2. Ordinary Least Squares (OLS).srt 15KB
  46. ~Get Your Files Here !/2. Python Review/2. Lists and Functions.srt 15KB
  47. ~Get Your Files Here !/8. Logistic Regression/1. Logistic Regression Theory.srt 15KB
  48. ~Get Your Files Here !/5. Seaborn/2. Categorical Plots, Regression Plots, and GridsStyle.srt 15KB
  49. ~Get Your Files Here !/2. Python Review/1. Variable Types.srt 14KB
  50. ~Get Your Files Here !/7. Linear Regression/4. Implementation Part 2.srt 13KB
  51. ~Get Your Files Here !/1. Welcome to the Course/1. Introduction.srt 13KB
  52. ~Get Your Files Here !/10. Neural Networks/6. Backpropagation.srt 12KB
  53. ~Get Your Files Here !/3. Numpy/1. Numpy Basics.srt 12KB
  54. ~Get Your Files Here !/9. Decision Trees/4. Implementation.srt 11KB
  55. ~Get Your Files Here !/9. Decision Trees/2. Splitting Algorithms.srt 11KB
  56. ~Get Your Files Here !/4. Pandas/1. Pandas Basics.srt 11KB
  57. ~Get Your Files Here !/8. Logistic Regression/2. Logistic Regression Metrics and Implementation.srt 11KB
  58. ~Get Your Files Here !/8. Logistic Regression/2.1 Logistic Regression Implementation.ipynb 8KB
  59. ~Get Your Files Here !/10. Neural Networks/5. Gradient Descent.srt 8KB
  60. ~Get Your Files Here !/10. Neural Networks/7. Implementation.srt 6KB
  61. ~Get Your Files Here !/9. Decision Trees/1. Terminology.srt 6KB
  62. ~Get Your Files Here !/10. Neural Networks/4. Activation Functions.srt 6KB
  63. ~Get Your Files Here !/10. Neural Networks/3. What are neural networks.srt 5KB
  64. ~Get Your Files Here !/10. Neural Networks/2. Origins of Neural Networks.srt 4KB
  65. ~Get Your Files Here !/9. Decision Trees/3. Random Forests.srt 3KB
  66. ~Get Your Files Here !/10. Neural Networks/1. Intro to Neural Networks.srt 2KB
  67. ~Get Your Files Here !/Bonus Resources.txt 357B
  68. Get Bonus Downloads Here.url 183B