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Packt Publishing - Deep Dive into Python Machine Learning

  • 收录时间:2018-03-01 12:05:08
  • 文件大小:3GB
  • 下载次数:293
  • 最近下载:2020-12-29 05:18:35
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文件列表

  1. Project_Files/Python Machine Learning Solutions [Video].zip 58MB
  2. 71 - Logistic Regression Model Implementation.mp4 47MB
  3. 25 - Using concurrent.futures.mp4 47MB
  4. 23 - Executing Other Programs with Subprocess.mp4 46MB
  5. 67 - Regression Model Implementation to Predict Television Show Viewers.mp4 40MB
  6. 18 - Getting the Most Out of docstrings 1 - PEP 257 and docutils.mp4 39MB
  7. 72 - K – Nearest Neighbor Classifier Implementation.mp4 38MB
  8. 66 - Basic Regression Model Implementation to Predict House Prices.mp4 36MB
  9. 172 - Deep Learning Hello World! Classifying the MNIST Data.mp4 35MB
  10. 45 - Using the Reactive Extensions for Python (RxPY).mp4 34MB
  11. 175 - Optimizing a Simple Model in Pure Theano.mp4 34MB
  12. 181 - Reusing Pre-trained Models in New Applications.mp4 32MB
  13. 05 - Extensive Standard Library.mp4 31MB
  14. 185 - Recurrent Networks –Training a Sentiment Analysis Model for Text.mp4 30MB
  15. 51 - Interfacing with C Code Using Cython.mp4 27MB
  16. 73 - Preprocessing Data Using Different Techniques.mp4 26MB
  17. 178 - Convolutional and Pooling Layers.mp4 25MB
  18. 183 - Recurrent Layers.mp4 25MB
  19. 47 - Building a High-Level Microservice with Flask.mp4 25MB
  20. 176 - Keras Behind the Scenes.mp4 24MB
  21. 15 - PEP 8 and Writing Readable Code.mp4 24MB
  22. 180 - Loading Pre-trained Models with Theano.mp4 24MB
  23. 88 - Evaluating Cars based on Their Characteristics.mp4 23MB
  24. 02 - Python Basic Syntax and Block Structure.mp4 23MB
  25. 26 - Using Multiprocessing.mp4 22MB
  26. 177 - Fully Connected or Dense Layers.mp4 22MB
  27. 10 - Finding Packages in the Python Package Index.mp4 22MB
  28. 187 - Captioning TensorFlow – Google's Machine Learning Library.mp4 22MB
  29. 171 - Open Source Libraries for Deep Learning.mp4 21MB
  30. 186 - Bonus Challenge – Automatic Image Captioning.mp4 21MB
  31. 06 - New in Python 3.5.mp4 21MB
  32. 153 - Building a Face Recognizer Using a Local Binary Patterns Histogram.mp4 21MB
  33. 179 - Large Scale Datasets, ImageNet, and Very Deep Neural Networks.mp4 20MB
  34. 92 - Building a Linear Classifier Using Support Vector Machine.mp4 20MB
  35. 83 - Building a Logistic Regression Classifier.mp4 20MB
  36. 144 - Creating Features Using Visual Codebook and Vector Quantization.mp4 20MB
  37. 110 - Constructing a k-nearest Neighbors Classifier.mp4 20MB
  38. 124 - Identifying Patterns in Text Using Topic Modelling.mp4 20MB
  39. 75 - Building a Linear Regressor.mp4 20MB
  40. 37 - Descriptors.mp4 20MB
  41. 182 - Theano for Loops – the scan Module.mp4 19MB
  42. 174 - Understanding Deep Learning with Theano.mp4 19MB
  43. 137 - Building Conditional Random Fields for Sequential Text Data.mp4 19MB
  44. 81 - Estimating bicycle demand distribution.mp4 18MB
  45. 121 - Building a Text Classifier.mp4 18MB
  46. 169 - The Course Overview.mp4 18MB
  47. 03 - Built-in Data Structures and Comprehensions.mp4 18MB
  48. 136 - Building Hidden Markov Models for Sequential Data.mp4 18MB
  49. 76 - Regression Accuracy and Model Persistence.mp4 18MB
  50. 27 - Understanding Why This Isn't Like Parallel Processing.mp4 17MB
  51. 39 - Using the unittest Package.mp4 17MB
  52. 97 - Building an Event Predictor.mp4 17MB
  53. 79 - Estimating housing prices.mp4 17MB
  54. 142 - Detecting Corners and SIFT Feature Points.mp4 17MB
  55. 16 - Using Version Control.mp4 17MB
  56. 100 - Compressing an Image Using Vector Quantization.mp4 16MB
  57. 139 - Operating on Images Using OpenCV-Python.mp4 16MB
  58. 87 - Visualizing the Confusion Matrix and Extracting the Performance Report.mp4 16MB
  59. 07 - Downloading and Installing Python.mp4 15MB
  60. 108 - Building Machine Learning Pipelines.mp4 15MB
  61. 91 - Extracting the Income Bracket.mp4 15MB
  62. 59 - Installing the pandas Library.mp4 15MB
  63. 104 - Automatically Estimating the Number of Clusters Using DBSCAN.mp4 15MB
  64. 01 - The Course Overview.mp4 15MB
  65. 50 - Accessing a Dynamic Library Using ctypes.mp4 15MB
  66. 44 - Building a Simple Reactive Programming Framework.mp4 15MB
  67. 123 - Analyzing the Sentiment of a Sentence.mp4 14MB
  68. 54 - Data Mining Basic Concepts and Applications.mp4 14MB
  69. 89 - Extracting Validation Curves.mp4 14MB
  70. 64 - Linear Regression Basic Model Approach.mp4 14MB
  71. 107 - Building Function Composition for Data Processing.mp4 14MB
  72. 140 - Detecting Edges.mp4 14MB
  73. 33 - Function Annotations.mp4 14MB
  74. 102 - Grouping Data Using Agglomerative Clustering.mp4 14MB
  75. 99 - Clustering Data Using the k-means Algorithm.mp4 13MB
  76. 28 - Using the asyncio Event Loop and Coroutine Scheduler.mp4 13MB
  77. 30 - Synchronizing Multiple Tasks.mp4 13MB
  78. 94 - Tackling Class Imbalance.mp4 13MB
  79. 132 - Transforming Data into the Time Series Format.mp4 13MB
  80. 32 - Using Function Decorators.mp4 13MB
  81. 131 - Building a Speech Recognizer.mp4 13MB
  82. 48 - Building a Low-Level Microservice with nameko.mp4 13MB
  83. 103 - Evaluating the Performance of Clustering Algorithms.mp4 13MB
  84. 116 - Preprocessing Data Using Tokenization.mp4 13MB
  85. 04 - First-Class Functions and Classes.mp4 12MB
  86. 77 - Building a Ridge Regressor.mp4 12MB
  87. 21 - Handling Command-Line Arguments with argparse.mp4 12MB
  88. 82 - Building a Simple Classifier.mp4 12MB
  89. 95 - Extracting Confidence Measurements.mp4 12MB
  90. 60 - Installing Matplotlib.mp4 12MB
  91. 138 - Analyzing Stock Market Data with Hidden Markov Models.mp4 12MB
  92. 120 - Building a Bag-of-Words Model.mp4 12MB
  93. 11 - Creating an Empty Package.mp4 12MB
  94. 141 - Histogram Equalization.mp4 11MB
  95. 34 - Class Decorators.mp4 11MB
  96. 78 - Building a Polynomial Regressor.mp4 11MB
  97. 145 - Training an Image Classifier Using Extremely Random Forests.mp4 11MB
  98. 36 - Context Managers.mp4 11MB
  99. 105 - Finding Patterns in Stock Market Data.mp4 11MB
  100. 31 - Communicating Across the Network.mp4 11MB
  101. 101 - Building a Mean Shift Clustering.mp4 11MB
  102. 09 - Installing Packages with pip.mp4 11MB
  103. 148 - Building a Face Detector using Haar Cascades.mp4 11MB
  104. 42 - Using Nose for Unified Test Discover and Reporting.mp4 11MB
  105. 98 - Estimating Traffic.mp4 11MB
  106. 135 - Extracting Statistics from Time Series.mp4 11MB
  107. 40 - Using unittest.mock.mp4 11MB
  108. 74 - Label Encoding.mp4 11MB
  109. 49 - Advantages and Disadvantages of Compiled Code.mp4 10MB
  110. 96 - Finding Optimal Hyper-Parameters.mp4 10MB
  111. 160 - Building an Optical Character Recognizer Using Neural Networks.mp4 10MB
  112. 115 - Generating Movie Recommendations.mp4 10MB
  113. 158 - Building a Recurrent Neural Network for Sequential Data Analysis.mp4 10MB
  114. 152 - Performing Blind Source Separation.mp4 10MB
  115. 122 - Identifying the Gender.mp4 10MB
  116. 35 - Metaclasses.mp4 10MB
  117. 128 - Synthesizing Music.mp4 10MB
  118. 106 - Building a Customer Segmentation Model.mp4 10MB
  119. 111 - Constructing a k-nearest Neighbors Regressor.mp4 10MB
  120. 41 - Using unittest's Test Discovery.mp4 10MB
  121. 52 - The Course Overview.mp4 10MB
  122. 130 - Building Hidden Markov Models.mp4 10MB
  123. 56 - Basics of Python.mp4 10MB
  124. 163 - Animating Bubble Plots.mp4 9MB
  125. 70 - Support Vector Machine.mp4 9MB
  126. 125 - Reading and Plotting Audio Data.mp4 9MB
  127. 126 - Transforming Audio Signals into the Frequency Domain.mp4 9MB
  128. 173 - Introduction to Backpropagation.mp4 9MB
  129. 13 - Importing One of the Package's Modules from Another.mp4 9MB
  130. 112 - Computing the Euclidean Distance Score.mp4 9MB
  131. 154 - Building a Perceptron.mp4 9MB
  132. 62 - Data Cleaning.mp4 9MB
  133. 20 - Making a Package Executable via python -m.mp4 9MB
  134. 156 - Building a deep neural network.mp4 9MB
  135. 65 - Evaluating Regression Models.mp4 9MB
  136. 69 - K – Nearest Neighbors Classifier.mp4 9MB
  137. 58 - Installing the Numpy Library.mp4 9MB
  138. 117 - Stemming Text Data.mp4 9MB
  139. 84 - Building a Naive Bayes’ Classifier.mp4 9MB
  140. 22 - Interacting with the User.mp4 9MB
  141. 53 - Brief Introduction to Data Mining.mp4 9MB
  142. 38 - Understanding the Principles of Unit Testing.mp4 9MB
  143. 151 - Performing Kernel Principal Component Analysis.mp4 8MB
  144. 63 - Data Preprocessing Techniques.mp4 8MB
  145. 157 - Creating a Vector Quantizer.mp4 8MB
  146. 113 - Computing the Pearson Correlation Score.mp4 8MB
  147. 118 - Converting Text to Its Base Form Using Lemmatization.mp4 8MB
  148. 149 - Building Eye and Nose Detectors.mp4 8MB
  149. 86 - Evaluating the Accuracy Using Cross-Validation.mp4 8MB
  150. 46 - Microservices and the Advantages of Process Isolation.mp4 8MB
  151. 17 - Using venv to Create a Stable and Isolated Work Area.mp4 8MB
  152. 129 - Extracting Frequency Domain Features.mp4 8MB
  153. 109 - Finding the Nearest Neighbors.mp4 8MB
  154. 161 - Plotting 3D Scatter plots.mp4 8MB
  155. 93 - Building Nonlinear Classifier Using SVMs.mp4 8MB
  156. 12 - Adding Modules to the Package.mp4 8MB
  157. 150 - Performing Principal Component Analysis.mp4 8MB
  158. 146 - Building an object recognizer.mp4 8MB
  159. 127 - Generating Audio Signals with Custom Parameters.mp4 8MB
  160. 80 - Computing relative importance of features.mp4 8MB
  161. 19 - Getting the Most Out of docstrings 2 - doctest.mp4 7MB
  162. 119 - Dividing Text Using Chunking.mp4 7MB
  163. 170 - What Is Deep Learning.mp4 7MB
  164. 143 - Building a Star Feature Detector.mp4 7MB
  165. 90 - Extracting Learning Curves.mp4 7MB
  166. 08 - Using the Command-Line and the Interactive Shell.mp4 7MB
  167. 147 - Capturing and Processing Video from a Webcam.mp4 7MB
  168. 68 - Logistic Regression.mp4 7MB
  169. 114 - Finding Similar Users in a Dataset.mp4 7MB
  170. 134 - Operating on Time Series Data.mp4 7MB
  171. 168 - Animating Dynamic Signals.mp4 7MB
  172. 29 - Waiting for Data to Become Available.mp4 7MB
  173. 184 - Recurrent Versus Convolutional Layers.mp4 7MB
  174. 85 - Splitting the Dataset for Training and Testing.mp4 6MB
  175. 165 - Plotting Date-Formatted Time Series Data.mp4 6MB
  176. 155 - Building a Single-Layer Neural Network.mp4 6MB
  177. 164 - Drawing Pie Charts.mp4 6MB
  178. 133 - Slicing Time Series Data.mp4 5MB
  179. 55 - Why Python.mp4 5MB
  180. 159 - Visualizing the Characters in an Optical Character Recognition Database.mp4 5MB
  181. 43 - What Does Reactive Programming Mean.mp4 5MB
  182. 24 - Using Shell Scripts or Batch Files to Run Our Programs.mp4 5MB
  183. 14 - Adding Static Data Files to the Package.mp4 5MB
  184. 167 - Visualizing Heat Maps.mp4 4MB
  185. 57 - Installing IPython.mp4 4MB
  186. 61 - Installing scikit-learn.mp4 4MB
  187. 166 - Plotting Histograms.mp4 4MB
  188. 162 - Plotting Bubble Plots.mp4 4MB
  189. Project_Files/Deep Learning with Python [Video].zip 591KB
  190. Project_Files/Mastering Python - Second Edition [Video].zip 36KB
  191. Project_Files/Data Mining with Python- Implementing Classification and Regression.zip 17KB