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[Udemy] ChatGPT для обработки данных и машинного обучения (2023)

  • 收录时间:2024-06-02 11:00:25
  • 文件大小:2GB
  • 下载次数:1
  • 最近下载:2024-06-02 11:00:25
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文件列表

  1. 5.Car Price Prediction/23.Coding Implementation.mp4 137MB
  2. 7.Customer Segmentation/27.Coding Implementation.mp4 117MB
  3. 6.Wine Quality Prediction/25.Coding Implementation.mp4 93MB
  4. 2.Machine Learning Fundamentals/10.KNN.mp4 79MB
  5. 2.Machine Learning Fundamentals/9.Logistic Regression.mp4 75MB
  6. 2.Machine Learning Fundamentals/15.GridSearch CV.mp4 74MB
  7. 2.Machine Learning Fundamentals/12.Decision Tree.mp4 74MB
  8. 2.Machine Learning Fundamentals/14.K Means Clustering.mp4 66MB
  9. 3.Data Visualization/19.Seaborn.mp4 64MB
  10. 2.Machine Learning Fundamentals/11.SVM.mp4 64MB
  11. 2.Machine Learning Fundamentals/7.Regression Analysis.mp4 55MB
  12. 2.Machine Learning Fundamentals/8.Linear Regression.mp4 52MB
  13. 2.Machine Learning Fundamentals/13.Random Forest.mp4 48MB
  14. 3.Data Visualization/18.Different type of plots in Matplotlib.mp4 47MB
  15. 2.Machine Learning Fundamentals/16.Machine Learning Model Evaluation Metrics.mp4 45MB
  16. 2.Machine Learning Fundamentals/2.Introduction to Machine Learning.mp4 37MB
  17. 2.Machine Learning Fundamentals/5.Machine Learning Life Cycle.mp4 36MB
  18. 2.Machine Learning Fundamentals/3.Supervised Machine Learning.mp4 34MB
  19. 1.Introduction/1.Introduction and Key Learning Outcomes.mp4 31MB
  20. 3.Data Visualization/17.Introduction to Matplotlib.mp4 29MB
  21. 4.Introduction to ChatGPT/20.Introduction to ChatGPT.mp4 27MB
  22. 2.Machine Learning Fundamentals/4.Unsupervised Machine Learning.mp4 23MB
  23. 4.Introduction to ChatGPT/21.Introduction to ChatGPT Practical.mp4 18MB
  24. 5.Car Price Prediction/23.Coding Implementation.mp3 17MB
  25. 2.Machine Learning Fundamentals/6.Train Test Split.mp4 15MB
  26. 7.Customer Segmentation/27.Coding Implementation.mp3 14MB
  27. 6.Wine Quality Prediction/24.Understanding the Problem Statement.mp4 14MB
  28. 7.Customer Segmentation/26.Understanding the Problem Statement.mp4 14MB
  29. 6.Wine Quality Prediction/25.Coding Implementation.mp3 14MB
  30. 2.Machine Learning Fundamentals/15.GridSearch CV.mp3 12MB
  31. 2.Machine Learning Fundamentals/11.SVM.mp3 11MB
  32. 3.Data Visualization/19.Seaborn.mp3 11MB
  33. 2.Machine Learning Fundamentals/9.Logistic Regression.mp3 10MB
  34. 2.Machine Learning Fundamentals/12.Decision Tree.mp3 10MB
  35. 2.Machine Learning Fundamentals/8.Linear Regression.mp3 10MB
  36. 2.Machine Learning Fundamentals/14.K Means Clustering.mp3 10MB
  37. 2.Machine Learning Fundamentals/10.KNN.mp3 10MB
  38. 3.Data Visualization/18.Different type of plots in Matplotlib.mp3 9MB
  39. 5.Car Price Prediction/22.Understanding the Problem Statement.mp4 9MB
  40. 2.Machine Learning Fundamentals/13.Random Forest.mp3 7MB
  41. 2.Machine Learning Fundamentals/16.Machine Learning Model Evaluation Metrics.mp3 7MB
  42. 2.Machine Learning Fundamentals/7.Regression Analysis.mp3 6MB
  43. 2.Machine Learning Fundamentals/2.Introduction to Machine Learning.mp3 6MB
  44. 2.Machine Learning Fundamentals/5.Machine Learning Life Cycle.mp3 5MB
  45. 3.Data Visualization/17.Introduction to Matplotlib.mp3 4MB
  46. 2.Machine Learning Fundamentals/3.Supervised Machine Learning.mp3 4MB
  47. 4.Introduction to ChatGPT/20.Introduction to ChatGPT.mp3 4MB
  48. 2.Machine Learning Fundamentals/6.Train Test Split.mp3 3MB
  49. 2.Machine Learning Fundamentals/4.Unsupervised Machine Learning.mp3 3MB
  50. 6.Wine Quality Prediction/24.Understanding the Problem Statement.mp3 3MB
  51. 4.Introduction to ChatGPT/21.Introduction to ChatGPT Practical.mp3 3MB
  52. 7.Customer Segmentation/26.Understanding the Problem Statement.mp3 2MB
  53. 1.Introduction/1.Introduction and Key Learning Outcomes.mp3 2MB
  54. 5.Car Price Prediction/22.Understanding the Problem Statement.mp3 2MB
  55. 4.Introduction to ChatGPT/20.Introduction to ChatGPT.pptx 1MB
  56. 2.Machine Learning Fundamentals/14.K Means Clustering Algorithm.pptx 588KB
  57. 2.Machine Learning Fundamentals/11.Support Vector Machine.pptx 555KB
  58. 2.Machine Learning Fundamentals/7.Regression Analysis.pptx 541KB
  59. 7.Customer Segmentation/26.Customer Segmentation using K means Clustering.pptx 521KB
  60. 2.Machine Learning Fundamentals/10.K Nearest Neighbors.pptx 520KB
  61. 2.Machine Learning Fundamentals/2.Introduction to Machine Learning.pptx 507KB
  62. 2.Machine Learning Fundamentals/15.GridSearchCV.pptx 487KB
  63. 6.Wine Quality Prediction/24.Wine Quality Prediction.pptx 480KB
  64. 2.Machine Learning Fundamentals/12.Decision Tree.pptx 463KB
  65. 5.Car Price Prediction/22.Car Price Prediction.pptx 456KB
  66. 2.Machine Learning Fundamentals/6.Train Test Split.pptx 443KB
  67. 2.Machine Learning Fundamentals/9.Logistic Regression.pptx 405KB
  68. 2.Machine Learning Fundamentals/13.Random Forest.pptx 401KB
  69. 2.Machine Learning Fundamentals/4.Unsupervised Machine Learning.pptx 400KB
  70. 1.Introduction/Introduction.pptx 373KB
  71. 2.Machine Learning Fundamentals/3.Supervised Machine Learning.pptx 365KB
  72. 2.Machine Learning Fundamentals/8.Linear Regression.pptx 360KB
  73. 6.Wine Quality Prediction/25.winequality red.csv 99KB
  74. 6.Wine Quality Prediction/25.Wine Quality Prediction.ipynb 90KB
  75. 7.Customer Segmentation/27.Customer Segmentation.ipynb 60KB
  76. 5.Car Price Prediction/23.Car Price Prediction.ipynb 42KB
  77. 5.Car Price Prediction/23.Coding Implementation.vtt 19KB
  78. 5.Car Price Prediction/23.car data.csv 17KB
  79. 7.Customer Segmentation/27.Coding Implementation.vtt 17KB
  80. 6.Wine Quality Prediction/25.Coding Implementation.vtt 15KB
  81. 2.Machine Learning Fundamentals/10.KNN.vtt 14KB
  82. 2.Machine Learning Fundamentals/11.SVM.vtt 14KB
  83. 2.Machine Learning Fundamentals/14.K Means Clustering.vtt 13KB
  84. 3.Data Visualization/19.Seaborn.vtt 13KB
  85. 2.Machine Learning Fundamentals/12.Decision Tree.vtt 12KB
  86. 2.Machine Learning Fundamentals/15.GridSearch CV.vtt 12KB
  87. 2.Machine Learning Fundamentals/9.Logistic Regression.vtt 12KB
  88. 2.Machine Learning Fundamentals/8.Linear Regression.vtt 11KB
  89. 2.Machine Learning Fundamentals/9.User Data.csv 11KB
  90. 2.Machine Learning Fundamentals/16.Machine Learning Model Evaluation Metrics.vtt 10KB
  91. 2.Machine Learning Fundamentals/7.Regression Analysis.vtt 10KB
  92. 3.Data Visualization/18.Different type of plots in Matplotlib.vtt 9KB
  93. 2.Machine Learning Fundamentals/2.Introduction to Machine Learning.vtt 8KB
  94. 2.Machine Learning Fundamentals/13.Random Forest.vtt 8KB
  95. 2.Machine Learning Fundamentals/5.Machine Learning Life Cycle.vtt 7KB
  96. 2.Machine Learning Fundamentals/3.Supervised Machine Learning.vtt 6KB
  97. 4.Introduction to ChatGPT/20.Introduction to ChatGPT.vtt 5KB
  98. 2.Machine Learning Fundamentals/14.Mall_Customers.csv 5KB
  99. 3.Data Visualization/17.Introduction to Matplotlib.vtt 5KB
  100. 2.Machine Learning Fundamentals/6.Train Test Split.vtt 4KB
  101. 2.Machine Learning Fundamentals/4.Unsupervised Machine Learning.vtt 4KB
  102. 7.Customer Segmentation/27.Mall Customers.csv 4KB
  103. 6.Wine Quality Prediction/24.Understanding the Problem Statement.vtt 4KB
  104. 1.Introduction/1.Introduction and Key Learning Outcomes.vtt 4KB
  105. 7.Customer Segmentation/26.Understanding the Problem Statement.vtt 3KB
  106. 4.Introduction to ChatGPT/21.Introduction to ChatGPT Practical.vtt 3KB
  107. 5.Car Price Prediction/22.Understanding the Problem Statement.vtt 3KB
  108. 2.Machine Learning Fundamentals/8.Salary_Data.csv 454B