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[] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

  • 收录时间:2022-04-08 16:16:05
  • 文件大小:5GB
  • 下载次数:1
  • 最近下载:2022-04-08 16:16:05
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文件列表

  1. 16 Projects/002 Project - 2.mp4 169MB
  2. 11 Machine Learning/015 Choosing the right algorithm and model.mp4 149MB
  3. 05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 112MB
  4. 08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 104MB
  5. 07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 104MB
  6. 16 Projects/001 Project - 1.mp4 102MB
  7. 09 Seaborn/005 Basic Plots in Seaborn.mp4 93MB
  8. 11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 88MB
  9. 15 Transfer Learning/001 What is Transfer Learning.mp4 85MB
  10. 07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 84MB
  11. 11 Machine Learning/016 Training and testing the model.mp4 84MB
  12. 06 Using Pandas for Data Manipulation/002 Series and Features.mp4 84MB
  13. 16 Projects/003 Project - 3.mp4 82MB
  14. 07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 80MB
  15. 12 Artificial Neural Network/003 Creating a Simple ANN.mp4 79MB
  16. 07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 79MB
  17. 05 Numpy Library/005 Numpy Functions.mp4 79MB
  18. 10 Geoplotlib/003 Example - 2.mp4 76MB
  19. 05 Numpy Library/007 Numpy Exercises.mp4 74MB
  20. 13 Convolutional Neural Network (CNN)/001 What is CNN_.mp4 72MB
  21. 16 Projects/004 Project - 4.mp4 72MB
  22. 07 Data Frame with Pandas/011 Work with Dataset Files.mp4 71MB
  23. 11 Machine Learning/011 Supervised Machine Learning Methods - 4.mp4 70MB
  24. 07 Data Frame with Pandas/008 Dealing with Missing Data.mp4 69MB
  25. 03 Fundamentals of Python/005 Lists, Tuples, Dictionaries and Sets.mp4 66MB
  26. 08 Matplotlib/004 Figure, Subplot and Axes.mp4 66MB
  27. 12 Artificial Neural Network/008 What is TensorFlow.mp4 63MB
  28. 12 Artificial Neural Network/004 Tensor Operations.mp4 62MB
  29. 08 Matplotlib/005 Figure Customization.mp4 59MB
  30. 04 Object Oriented Programming/005 Overriding and Overloading.mp4 59MB
  31. 07 Data Frame with Pandas/002 Data Frame attributes and Methods Part – II.mp4 57MB
  32. 09 Seaborn/007 Regression Plots and Squarify.mp4 57MB
  33. 11 Machine Learning/010 Supervised Machine Learning Methods - 3.mp4 56MB
  34. 11 Machine Learning/009 Supervised Machine Learning Methods - 2.mp4 55MB
  35. 07 Data Frame with Pandas/005 Groupby Operations.mp4 53MB
  36. 08 Matplotlib/009 Basic Plots in Matplotlib II.mp4 52MB
  37. 09 Seaborn/003 Example.mp4 51MB
  38. 14 Recurrent Neural Network and LTSM/001 Understanding RNN and LSTM Networks.mp4 51MB
  39. 07 Data Frame with Pandas/004 Multi index.mp4 51MB
  40. 03 Fundamentals of Python/004 Loops.mp4 49MB
  41. 07 Data Frame with Pandas/003 Data Frame attributes and Methods Part – III.mp4 48MB
  42. 05 Numpy Library/003 Array and features.mp4 48MB
  43. 10 Geoplotlib/004 Example - 3.mp4 48MB
  44. 03 Fundamentals of Python/010 Exercise Solution.mp4 48MB
  45. 11 Machine Learning/007 Machine Learning Methods.mp4 46MB
  46. 09 Seaborn/004 Color Palettes.mp4 45MB
  47. 12 Artificial Neural Network/007 Optimizers.mp4 42MB
  48. 12 Artificial Neural Network/002 Anatomy of Neural Network.mp4 42MB
  49. 05 Numpy Library/009 NumExpr Guide.mp4 42MB
  50. 03 Fundamentals of Python/001 Data Types in Python.mp4 41MB
  51. 09 Seaborn/006 Multi-Plots in Seaborn.mp4 41MB
  52. 11 Machine Learning/003 Turing Machine and Turing Test.mp4 41MB
  53. 07 Data Frame with Pandas/007 Missing Data and Data Munging Part II.mp4 41MB
  54. 03 Fundamentals of Python/006 Data Type Operators and Methods.mp4 40MB
  55. 05 Numpy Library/006 Indexing and Slicing.mp4 40MB
  56. 09 Seaborn/002 Controlling Figure Aesthetics.mp4 39MB
  57. 02 Python Setup/001 Installing Anaconda Distribution and Python.mp4 38MB
  58. 10 Geoplotlib/002 Example - 1.mp4 36MB
  59. 11 Machine Learning/005 Learning representations from data.mp4 35MB
  60. 03 Fundamentals of Python/003 Conditionals.mp4 35MB
  61. 04 Object Oriented Programming/002 Constructor.mp4 34MB
  62. 04 Object Oriented Programming/004 Inheritance.mp4 33MB
  63. 10 Geoplotlib/001 What is Geoplotlib_.mp4 32MB
  64. 11 Machine Learning/006 Workflow of Machine Learning.mp4 32MB
  65. 11 Machine Learning/008 Supervised Machine Learning Methods - 1.mp4 31MB
  66. 12 Artificial Neural Network/005 Tensor Operations 2.mp4 30MB
  67. 03 Fundamentals of Python/002 Operators in Python.mp4 30MB
  68. 05 Numpy Library/001 What is Numpy_.mp4 27MB
  69. 08 Matplotlib/003 Pyplot – Pylab - Matplotlib.mp4 27MB
  70. 08 Matplotlib/002 Using Matplotlib.mp4 27MB
  71. 03 Fundamentals of Python/008 Functions in Python.mp4 26MB
  72. 11 Machine Learning/014 Data pre-processing.mp4 26MB
  73. 08 Matplotlib/006 Plot Customization.mp4 26MB
  74. 02 Python Setup/002 Overview of Jupyter Notebook and Google Colab.mp4 25MB
  75. 11 Machine Learning/017 Evaluation.mp4 24MB
  76. 11 Machine Learning/002 History of Machine Learning.mp4 24MB
  77. 04 Object Oriented Programming/003 Methods.mp4 24MB
  78. 12 Artificial Neural Network/006 Keras API.mp4 23MB
  79. 12 Artificial Neural Network/001 What is Artificial Neural Network (ANN)_.mp4 23MB
  80. 08 Matplotlib/007 Grid, Spines, Ticks.mp4 22MB
  81. 06 Using Pandas for Data Manipulation/001 What is Pandas_.mp4 22MB
  82. 03 Fundamentals of Python/007 Modules in Python.mp4 21MB
  83. 11 Machine Learning/004 What is Deep Learning.mp4 21MB
  84. 08 Matplotlib/001 Data Visualization with Python Masterclass.mp4 18MB
  85. 11 Machine Learning/013 Gathering data.mp4 18MB
  86. 05 Numpy Library/004 Array’s Operators.mp4 18MB
  87. 04 Object Oriented Programming/001 Logic of OOP.mp4 16MB
  88. 11 Machine Learning/001 AI, Machine Learning and Deep Learning.mp4 16MB
  89. 01 Intro to Deep Learning with Python/001 Introduction to Deep Learning with Python.mp4 15MB
  90. 05 Numpy Library/002 Why Numpy_.mp4 14MB
  91. 09 Seaborn/001 What is Seaborn_.mp4 13MB
  92. 03 Fundamentals of Python/009 Exercise Analyse.mp4 6MB
  93. 05 Numpy Library/008 Using Numpy in Linear Algebra.mp4.vtx 442KB
  94. 05 Numpy Library/008 Using Numpy in Linear Algebra.en.srt 32KB
  95. 08 Matplotlib/008 Basic Plots in Matplotlib I.en.srt 32KB
  96. 17 BONUS/001 BONUS.html 30KB
  97. 11 Machine Learning/012 Unsupervised Machine Learning Methods.en.srt 28KB
  98. 07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.en.srt 23KB
  99. 16 Projects/002 Project - 2.en.srt 22KB
  100. 16 Projects/001 Project - 1.en.srt 21KB
  101. 12 Artificial Neural Network/008 What is TensorFlow.en.srt 21KB
  102. 05 Numpy Library/005 Numpy Functions.en.srt 20KB
  103. 11 Machine Learning/011 Supervised Machine Learning Methods - 4.en.srt 19KB
  104. 06 Using Pandas for Data Manipulation/002 Series and Features.en.srt 19KB
  105. 15 Transfer Learning/001 What is Transfer Learning.en.srt 19KB
  106. 10 Geoplotlib/003 Example - 2.en.srt 19KB
  107. 03 Fundamentals of Python/005 Lists, Tuples, Dictionaries and Sets.en.srt 18KB
  108. 08 Matplotlib/004 Figure, Subplot and Axes.en.srt 18KB
  109. 07 Data Frame with Pandas/010 Combining Data Frames Part – II.en.srt 18KB
  110. 07 Data Frame with Pandas/009 Combining Data Frames Part – I.en.srt 18KB
  111. 13 Convolutional Neural Network (CNN)/001 What is CNN_.en.srt 18KB
  112. 11 Machine Learning/007 Machine Learning Methods.en.srt 17KB
  113. 11 Machine Learning/010 Supervised Machine Learning Methods - 3.en.srt 16KB
  114. 07 Data Frame with Pandas/008 Dealing with Missing Data.en.srt 16KB
  115. 08 Matplotlib/009 Basic Plots in Matplotlib II.en.srt 16KB
  116. 07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.en.srt 16KB
  117. 09 Seaborn/007 Regression Plots and Squarify.en.srt 16KB
  118. 11 Machine Learning/009 Supervised Machine Learning Methods - 2.en.srt 16KB
  119. 16 Projects/003 Project - 3.en.srt 16KB
  120. 05 Numpy Library/007 Numpy Exercises.en.srt 15KB
  121. 16 Projects/004 Project - 4.en.srt 15KB
  122. 14 Recurrent Neural Network and LTSM/001 Understanding RNN and LSTM Networks.en.srt 15KB
  123. 09 Seaborn/004 Color Palettes.en.srt 15KB
  124. 12 Artificial Neural Network/003 Creating a Simple ANN.en.srt 15KB
  125. 08 Matplotlib/005 Figure Customization.en.srt 15KB
  126. 03 Fundamentals of Python/001 Data Types in Python.en.srt 14KB
  127. 11 Machine Learning/005 Learning representations from data.en.srt 14KB
  128. 11 Machine Learning/003 Turing Machine and Turing Test.en.srt 14KB
  129. 07 Data Frame with Pandas/005 Groupby Operations.en.srt 13KB
  130. 07 Data Frame with Pandas/004 Multi index.en.srt 12KB
  131. 12 Artificial Neural Network/007 Optimizers.en.srt 12KB
  132. 03 Fundamentals of Python/004 Loops.en.srt 12KB
  133. 07 Data Frame with Pandas/011 Work with Dataset Files.en.srt 12KB
  134. 05 Numpy Library/003 Array and features.en.srt 12KB
  135. 07 Data Frame with Pandas/002 Data Frame attributes and Methods Part – II.en.srt 12KB
  136. 10 Geoplotlib/004 Example - 3.en.srt 12KB
  137. 12 Artificial Neural Network/004 Tensor Operations.en.srt 11KB
  138. 07 Data Frame with Pandas/007 Missing Data and Data Munging Part II.en.srt 11KB
  139. 09 Seaborn/002 Controlling Figure Aesthetics.en.srt 11KB
  140. 11 Machine Learning/006 Workflow of Machine Learning.en.srt 11KB
  141. 09 Seaborn/006 Multi-Plots in Seaborn.en.srt 11KB
  142. 03 Fundamentals of Python/002 Operators in Python.en.srt 11KB
  143. 11 Machine Learning/008 Supervised Machine Learning Methods - 1.en.srt 11KB
  144. 12 Artificial Neural Network/002 Anatomy of Neural Network.en.srt 11KB
  145. 10 Geoplotlib/001 What is Geoplotlib_.en.srt 11KB
  146. 03 Fundamentals of Python/003 Conditionals.en.srt 10KB
  147. 09 Seaborn/003 Example.en.srt 10KB
  148. 10 Geoplotlib/002 Example - 1.en.srt 10KB
  149. 07 Data Frame with Pandas/003 Data Frame attributes and Methods Part – III.en.srt 10KB
  150. 04 Object Oriented Programming/005 Overriding and Overloading.en.srt 10KB
  151. 03 Fundamentals of Python/006 Data Type Operators and Methods.en.srt 9KB
  152. 03 Fundamentals of Python/008 Functions in Python.en.srt 9KB
  153. 11 Machine Learning/015 Choosing the right algorithm and model.en.srt 9KB
  154. 05 Numpy Library/006 Indexing and Slicing.en.srt 9KB
  155. 08 Matplotlib/007 Grid, Spines, Ticks.en.srt 8KB
  156. 12 Artificial Neural Network/001 What is Artificial Neural Network (ANN)_.en.srt 8KB
  157. 12 Artificial Neural Network/005 Tensor Operations 2.en.srt 8KB
  158. 12 Artificial Neural Network/006 Keras API.en.srt 8KB
  159. 11 Machine Learning/002 History of Machine Learning.en.srt 8KB
  160. 05 Numpy Library/009 NumExpr Guide.en.srt 8KB
  161. 08 Matplotlib/002 Using Matplotlib.en.srt 8KB
  162. 11 Machine Learning/017 Evaluation.en.srt 8KB
  163. 05 Numpy Library/001 What is Numpy_.en.srt 8KB
  164. 08 Matplotlib/003 Pyplot – Pylab - Matplotlib.en.srt 8KB
  165. 11 Machine Learning/004 What is Deep Learning.en.srt 7KB
  166. 04 Object Oriented Programming/002 Constructor.en.srt 7KB
  167. 04 Object Oriented Programming/004 Inheritance.en.srt 7KB
  168. 08 Matplotlib/006 Plot Customization.en.srt 7KB
  169. 03 Fundamentals of Python/010 Exercise Solution.en.srt 7KB
  170. 06 Using Pandas for Data Manipulation/001 What is Pandas_.en.srt 7KB
  171. 11 Machine Learning/014 Data pre-processing.en.srt 7KB
  172. 11 Machine Learning/016 Training and testing the model.en.srt 6KB
  173. 02 Python Setup/002 Overview of Jupyter Notebook and Google Colab.en.srt 6KB
  174. 01 Intro to Deep Learning with Python/001 Introduction to Deep Learning with Python.en.srt 6KB
  175. 11 Machine Learning/013 Gathering data.en.srt 6KB
  176. 11 Machine Learning/001 AI, Machine Learning and Deep Learning.en.srt 6KB
  177. 03 Fundamentals of Python/007 Modules in Python.en.srt 6KB
  178. 04 Object Oriented Programming/001 Logic of OOP.en.srt 5KB
  179. 09 Seaborn/001 What is Seaborn_.en.srt 5KB
  180. 05 Numpy Library/002 Why Numpy_.en.srt 5KB
  181. 02 Python Setup/001 Installing Anaconda Distribution and Python.en.srt 5KB
  182. 05 Numpy Library/004 Array’s Operators.en.srt 4KB
  183. 04 Object Oriented Programming/003 Methods.en.srt 4KB
  184. 08 Matplotlib/001 Data Visualization with Python Masterclass.en.srt 4KB
  185. 03 Fundamentals of Python/009 Exercise Analyse.en.srt 2KB
  186. 01 Intro to Deep Learning with Python/002 Project Files and Course Documents.html 1KB
  187. 0. Websites you may like/[GigaCourse.Com].url 49B
  188. 03 Fundamentals of Python/[GigaCourse.Com].url 49B
  189. 09 Seaborn/[GigaCourse.Com].url 49B
  190. 16 Projects/[GigaCourse.Com].url 49B
  191. [GigaCourse.Com].url 49B