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[FreeCourseSite.com] Udemy - The Complete Machine Learning Course From Zero to Expert!

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2023-4-8 07:43 2024-11-15 09:58 118 9.28 GB 78
磁力链接
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迅雷链接
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FreeCourseSite com Udemy - The Complete Machine Learning Course From Zero to Expert!

文件列表
  1. 1 - Code Environment Setup/1 - Google Colab for Programming in Python.mp49.57MB
  2. 10 - Linear Regression/33 - Introduction to the Dataset.mp499.69MB
  3. 10 - Linear Regression/34 - Preprocessing.mp4159.52MB
  4. 10 - Linear Regression/35 - Linear Regression.mp4222.67MB
  5. 10 - Linear Regression/36 - Metrics.mp496.92MB
  6. 10 - Linear Regression/37 - Cross Validation.mp4155.57MB
  7. 11 - Ridge Regression/38 - Ridge Regression and Cross Validation.mp4325.18MB
  8. 12 - Lasso Regression/39 - Lasso Regression and Cross Validation.mp4128.32MB
  9. 13 - Regression Understand the Models/40 - Analysis.mp4121.07MB
  10. 13 - Regression Understand the Models/41 - Data Scaling.mp4244.64MB
  11. 13 - Regression Understand the Models/42 - OneHot Encoding.mp4176.7MB
  12. 13 - Regression Understand the Models/43 - Regularization.mp4170.66MB
  13. 13 - Regression Understand the Models/44 - Final Results.mp481.61MB
  14. 14 - Classification/45 - Introduction to the Dataset.mp4103.25MB
  15. 14 - Classification/46 - Partition of the Dataset Train and Test.mp468.57MB
  16. 14 - Classification/47 - Preprocessing.mp4163.23MB
  17. 14 - Classification/48 - Principal Component Analysis.mp480.31MB
  18. 14 - Classification/49 - Linear Discriminant Analysis.mp4225.84MB
  19. 14 - Classification/50 - Naive Bayes Classifier.mp4128.87MB
  20. 14 - Classification/51 - Quadratic Classifier.mp476.51MB
  21. 14 - Classification/52 - Logistic Regression.mp4209.07MB
  22. 15 - Support Vector Machines for Regression/53 - Introduction to Support Vector Machines.mp47.48MB
  23. 15 - Support Vector Machines for Regression/54 - Introduction to the Dataset.mp493.82MB
  24. 15 - Support Vector Machines for Regression/55 - Partition of the Dataset Target Variable.mp437.01MB
  25. 15 - Support Vector Machines for Regression/56 - Partition of the Dataset Time Series Windows.mp4120.39MB
  26. 15 - Support Vector Machines for Regression/57 - Support Vector Machine Linear Kernel.mp4194.45MB
  27. 15 - Support Vector Machines for Regression/58 - Support Vector Machines Polynomial Kernels.mp474.62MB
  28. 15 - Support Vector Machines for Regression/59 - Support Vector Machine Radial Basis Function RBF Kernel.mp4123.44MB
  29. 16 - Support Vector Machines for Classification/60 - Introduction to Support Vector Machines.mp46.39MB
  30. 16 - Support Vector Machines for Classification/61 - Introduction to the Dataset.mp441.48MB
  31. 16 - Support Vector Machines for Classification/62 - Partition of the Dataset.mp492.29MB
  32. 16 - Support Vector Machines for Classification/63 - Transformation to Data Matrix.mp4147.57MB
  33. 16 - Support Vector Machines for Classification/64 - Dimensionality Reduction.mp4120.66MB
  34. 16 - Support Vector Machines for Classification/65 - Support Vector Machine Linear Kernel.mp4175.11MB
  35. 16 - Support Vector Machines for Classification/66 - Support Vector Machines Polynomial Kernels.mp4136.09MB
  36. 16 - Support Vector Machines for Classification/67 - Support Vector Machine Radial Basis Function RBF Kernel.mp476.09MB
  37. 17 - Neural Networks/68 - Introduction to Neural Networks.mp422.08MB
  38. 18 - Neural Networks for Regression/69 - Dataset Information.mp44.72MB
  39. 18 - Neural Networks for Regression/70 - Introduction to the Dataset.mp493.79MB
  40. 18 - Neural Networks for Regression/71 - Partition of the Dataset Target Variable.mp437.01MB
  41. 18 - Neural Networks for Regression/72 - Partition of the Dataset Time Series Windows.mp4120.36MB
  42. 18 - Neural Networks for Regression/73 - Multilayer Perceptron Neural Network.mp4307.7MB
  43. 19 - Neural Networks for Classification/74 - Introduction to the Dataset.mp4124.27MB
  44. 19 - Neural Networks for Classification/75 - Partition of the Dataset.mp465MB
  45. 19 - Neural Networks for Classification/76 - Neural Network Preprocessing.mp483.44MB
  46. 19 - Neural Networks for Classification/77 - Neural Network Training.mp4181.21MB
  47. 19 - Neural Networks for Classification/78 - Neural Network Performance Evaluation.mp4113.15MB
  48. 2 - Introduction Preprocessing and Analysis/2 - Initial Study of the Dataset.mp4118.12MB
  49. 2 - Introduction Preprocessing and Analysis/3 - Basic Visualization.mp4104.73MB
  50. 3 - Visualization Principal Component Analysis/4 - Introduction to PCA.mp419.88MB
  51. 3 - Visualization Principal Component Analysis/5 - Introduction to the Dataset.mp4166.37MB
  52. 3 - Visualization Principal Component Analysis/6 - Initial Visualization.mp4217.23MB
  53. 3 - Visualization Principal Component Analysis/7 - Using PCA.mp4461.42MB
  54. 4 - Visualization Locally Linear Embedding LLE/10 - Introduction to the Dataset.mp484.88MB
  55. 4 - Visualization Locally Linear Embedding LLE/11 - Using LLE.mp4200.12MB
  56. 4 - Visualization Locally Linear Embedding LLE/12 - LLE with 3 Dimensions.mp4201.92MB
  57. 4 - Visualization Locally Linear Embedding LLE/8 - Introduction to LLE.mp419.62MB
  58. 4 - Visualization Locally Linear Embedding LLE/9 - Locally Linear Embedding Algorithm.mp419.18MB
  59. 5 - Visualization tStochastic Neighbor Embedding tSNE/13 - Introduction to tSNE.mp435.39MB
  60. 5 - Visualization tStochastic Neighbor Embedding tSNE/14 - Dataset.mp42.96MB
  61. 5 - Visualization tStochastic Neighbor Embedding tSNE/15 - Introduction to the Dataset.mp484.9MB
  62. 5 - Visualization tStochastic Neighbor Embedding tSNE/16 - tSNE on Raw Data.mp4256.74MB
  63. 5 - Visualization tStochastic Neighbor Embedding tSNE/17 - tSNE on Scaled Data.mp4145.38MB
  64. 5 - Visualization tStochastic Neighbor Embedding tSNE/18 - tSNE on Standardized Data.mp4146.61MB
  65. 6 - Visualization Multidimensional Scaling MDS/19 - Introduction to MDS.mp421.18MB
  66. 6 - Visualization Multidimensional Scaling MDS/20 - Using MDS with 2 Dimensions.mp4150.04MB
  67. 6 - Visualization Multidimensional Scaling MDS/21 - Using MDS with 3 Dimensions.mp4143.7MB
  68. 7 - Visualization ISOMAP/22 - Introduccion to ISOMAP.mp417.47MB
  69. 7 - Visualization ISOMAP/23 - ISOMAP with 2 Dimensions.mp4214.03MB
  70. 7 - Visualization ISOMAP/24 - ISOMAP with 3 Dimensions.mp4247.73MB
  71. 8 - Visualization Fisher Discriminant Analysis/25 - Introduction to Fisher Discriminant Analysis.mp412.68MB
  72. 8 - Visualization Fisher Discriminant Analysis/26 - Dataset Information.mp42.96MB
  73. 8 - Visualization Fisher Discriminant Analysis/27 - Introduction to the Dataset.mp484.91MB
  74. 8 - Visualization Fisher Discriminant Analysis/28 - Fisher Discriminant Analysis with 2 Dimensions.mp4209.6MB
  75. 8 - Visualization Fisher Discriminant Analysis/29 - Fisher Discriminant Analysis with 3 Dimensions.mp4188.03MB
  76. 9 - Visualization Final Project Images/30 - Images.mp41.98MB
  77. 9 - Visualization Final Project Images/31 - Introduction to Image Dataset.mp491.34MB
  78. 9 - Visualization Final Project Images/32 - Fisher Discriminant Analysis.mp4182.76MB
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