589689.xyz

[] Udemy - Projects in Machine Learning Beginner To Professional

  • 收录时间:2018-12-17 20:06:55
  • 文件大小:4GB
  • 下载次数:157
  • 最近下载:2021-01-19 22:11:32
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 12. Project 7 Text Classification/2. Feature Engineering.mp4 375MB
  2. 11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4 358MB
  3. 9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4 323MB
  4. 11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4 259MB
  5. 13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4 231MB
  6. 9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4 217MB
  7. 13. Project 8 - KMeans/3. Evaluation and Visualization.mp4 209MB
  8. 10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4 206MB
  9. 12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4 204MB
  10. 9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4 198MB
  11. 14. Project 9 PCA/3. PCA Compression and Visualization.mp4 185MB
  12. 10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4 181MB
  13. 10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4 171MB
  14. 14. Project 9 PCA/2. The Elbow Method.mp4 114MB
  15. 6. Warmup Project/3. Building and Training the Network Part 2.mp4 63MB
  16. 1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4 53MB
  17. 8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4 49MB
  18. 8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4 38MB
  19. 2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4 36MB
  20. 6. Warmup Project/2. Building and Training the Network Part 1.mp4 36MB
  21. 7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp4 36MB
  22. 1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4 36MB
  23. 2. Supervised Learning - part 1/4. Support Vector Machines.mp4 36MB
  24. 7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp4 36MB
  25. 2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4 34MB
  26. 4. Neural Networks/5. Convolutional Neural Networks.mp4 32MB
  27. 3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4 32MB
  28. 5. Real World Machine Learning/4. Common Software for ML.mp4 31MB
  29. 2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4 31MB
  30. 6. Warmup Project/1. Setting up OpenAI Gym.mp4 30MB
  31. 1. An Introduction to Machine Learning/2. What is Machine Learning.mp4 29MB
  32. 3. Unsupervised Learning/2. Association Rules.mp4 29MB
  33. 3. Unsupervised Learning/3. Cluster Analysis.mp4 28MB
  34. 2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4 27MB
  35. 2. Supervised Learning - part 1/6. Model Selection Procedures.mp4 27MB
  36. 5. Real World Machine Learning/1. Introduction to Real World ML.mp4 26MB
  37. 2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4 25MB
  38. 4. Neural Networks/4. Training Procedures.mp4 24MB
  39. 1. An Introduction to Machine Learning/4. AI vs ML.mp4 23MB
  40. 4. Neural Networks/1. Introduction to Neural Networks.mp4 23MB
  41. 4. Neural Networks/3. The Backpropagation Algorithm.mp4 23MB
  42. 3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4 22MB
  43. 2. Supervised Learning - part 1/5. Basis Expansions.mp4 21MB
  44. 3. Unsupervised Learning/4. Reinforcement Learning.mp4 21MB
  45. 5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp4 20MB
  46. 5. Real World Machine Learning/2. Choosing an Algorithm.mp4 19MB
  47. 7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp4 18MB
  48. 4. Neural Networks/2. The Perceptron.mp4 17MB
  49. 9. Project 4 Intro to Natural Language Processing/1. Intro.mp4 17MB
  50. 13. Project 8 - KMeans/1. Intro.mp4 11MB
  51. 11. Project 6 Image Super Resolution/1. Intro.mp4 10MB
  52. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution.zip.zip 9MB
  53. 8. Project 2 Credit Card Fraud Detection/1. Intro.mp4 8MB
  54. 7. Project 1Board Game Review Prediction/1. Intro.mp4 8MB
  55. 10. Project 5 Object Recognition/1. Intro.mp4 7MB
  56. 12. Project 7 Text Classification/1. Intro.mp4 5MB
  57. 14. Project 9 PCA/1. Intro.mp4 4MB
  58. 1. An Introduction to Machine Learning/1. Introduction.mp4 2MB
  59. 8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection.zip.zip 238KB
  60. 14. Project 9 PCA/1.1 PCA.zip.zip 220KB
  61. 10. Project 5 Object Recognition/1.1 Object Recognition.zip.zip 219KB
  62. 13. Project 8 - KMeans/1.1 KMeans.zip.zip 189KB
  63. 2. Supervised Learning - part 1/7.1 Supervised Learning.zip.zip 167KB
  64. 7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions.zip.zip 129KB
  65. 3. Unsupervised Learning/5.1 Unsupervised Learning.zip.zip 92KB
  66. 2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf 75KB
  67. 9. Project 4 Intro to Natural Language Processing/1.1 Intro to Natural Language Processing.zip.zip 65KB
  68. 1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf 65KB
  69. 1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf 62KB
  70. 12. Project 7 Text Classification/2. Feature Engineering.srt 56KB
  71. 12. Project 7 Text Classification/1.1 Text Classification.zip.zip 55KB
  72. 11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt 55KB
  73. 2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf 53KB
  74. 5. Real World Machine Learning/6.1 Unit 5 Solutions.pdf.pdf 47KB
  75. 6. Warmup Project/1.1 Final Project.zip.zip 47KB
  76. 13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt 46KB
  77. 11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt 44KB
  78. 3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf 41KB
  79. 9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.srt 37KB
  80. 14. Project 9 PCA/3. PCA Compression and Visualization.srt 36KB
  81. 5. Real World Machine Learning/5.1 Unit 5 Quiz.pdf.pdf 35KB
  82. 13. Project 8 - KMeans/3. Evaluation and Visualization.srt 35KB
  83. 1. An Introduction to Machine Learning/3. Types and Applications of ML.srt 35KB
  84. 10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt 33KB
  85. 12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt 32KB
  86. 10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt 31KB
  87. 9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.srt 30KB
  88. 3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf 30KB
  89. 9. Project 4 Intro to Natural Language Processing/4. Text Classification.srt 30KB
  90. 14. Project 9 PCA/2. The Elbow Method.srt 29KB
  91. 6. Warmup Project/3. Building and Training the Network Part 2.srt 27KB
  92. 8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.srt 27KB
  93. 10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt 25KB
  94. 8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.srt 25KB
  95. 1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt 23KB
  96. 3. Unsupervised Learning/4. Reinforcement Learning.srt 22KB
  97. 2. Supervised Learning - part 1/2. Linear Methods for Classification.srt 22KB
  98. 4. Neural Networks/5. Convolutional Neural Networks.srt 22KB
  99. 2. Supervised Learning - part 1/4. Support Vector Machines.srt 20KB
  100. 7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.srt 20KB
  101. 6. Warmup Project/2. Building and Training the Network Part 1.srt 20KB
  102. 3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt 20KB
  103. 2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt 19KB
  104. 4. Neural Networks/4. Training Procedures.srt 19KB
  105. 3. Unsupervised Learning/2. Association Rules.srt 19KB
  106. 2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt 18KB
  107. 3. Unsupervised Learning/3. Cluster Analysis.srt 18KB
  108. 2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt 18KB
  109. 4. Neural Networks/1. Introduction to Neural Networks.srt 18KB
  110. 6. Warmup Project/1. Setting up OpenAI Gym.srt 17KB
  111. 2. Supervised Learning - part 1/6. Model Selection Procedures.srt 17KB
  112. 7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.srt 17KB
  113. 5. Real World Machine Learning/1. Introduction to Real World ML.srt 16KB
  114. 4. Neural Networks/3. The Backpropagation Algorithm.srt 16KB
  115. 3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt 16KB
  116. 1. An Introduction to Machine Learning/2. What is Machine Learning.srt 16KB
  117. 5. Real World Machine Learning/4. Common Software for ML.srt 15KB
  118. 2. Supervised Learning - part 1/3. Linear Methods for Regression.srt 15KB
  119. 5. Real World Machine Learning/3. Design and Analysis of ML Experiments.srt 14KB
  120. 2. Supervised Learning - part 1/5. Basis Expansions.srt 14KB
  121. 4. Neural Networks/2. The Perceptron.srt 13KB
  122. 5. Real World Machine Learning/2. Choosing an Algorithm.srt 13KB
  123. 7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.srt 13KB
  124. 1. An Introduction to Machine Learning/4. AI vs ML.srt 13KB
  125. 8. Project 2 Credit Card Fraud Detection/1. Intro.srt 3KB
  126. 7. Project 1Board Game Review Prediction/1. Intro.srt 2KB
  127. 10. Project 5 Object Recognition/1. Intro.srt 2KB
  128. 9. Project 4 Intro to Natural Language Processing/1. Intro.srt 2KB
  129. 1. An Introduction to Machine Learning/1. Introduction.srt 2KB
  130. 13. Project 8 - KMeans/1. Intro.srt 2KB
  131. 11. Project 6 Image Super Resolution/1. Intro.srt 2KB
  132. 12. Project 7 Text Classification/1. Intro.srt 1KB
  133. 14. Project 9 PCA/1. Intro.srt 1KB
  134. [FTU Forum].url 252B
  135. [FreeCoursesOnline.Me].url 133B
  136. [FreeTutorials.Us].url 119B
  137. 1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html 65B
  138. 2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html 65B
  139. 3. Unsupervised Learning/6. Quiz- Questions- Section 3.html 65B
  140. 5. Real World Machine Learning/5. Quiz- Questions- Section 5.html 65B
  141. 1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html 53B
  142. 2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html 53B
  143. 3. Unsupervised Learning/7. Quiz- Answers - Section 3.html 53B
  144. 5. Real World Machine Learning/6. Quiz- Answers - Section 5.html 53B