[FreeCourseLab.com] Udemy - Projects in Machine Learning Beginner To Professional

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Files
  1. 1. An Introduction to Machine Learning/1. Introduction.mp4 1.71MB
  2. 1. An Introduction to Machine Learning/1. Introduction.srt 1.63KB
  3. 1. An Introduction to Machine Learning/2. What is Machine Learning.mp4 29.19MB
  4. 1. An Introduction to Machine Learning/2. What is Machine Learning.srt 15.77KB
  5. 1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4 53.05MB
  6. 1. An Introduction to Machine Learning/3. Types and Applications of ML.srt 34.78KB
  7. 1. An Introduction to Machine Learning/4. AI vs ML.mp4 22.88MB
  8. 1. An Introduction to Machine Learning/4. AI vs ML.srt 12.52KB
  9. 1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4 35.79MB
  10. 1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt 23.34KB
  11. 1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html 65B
  12. 1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf 64.52KB
  13. 1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html 53B
  14. 1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf 61.74KB
  15. 10. Project 5 Object Recognition/1. Intro.mp4 7.21MB
  16. 10. Project 5 Object Recognition/1. Intro.srt 1.66KB
  17. 10. Project 5 Object Recognition/1.1 Object Recognition.zip.zip 219.04KB
  18. 10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4 180.54MB
  19. 10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt 32.63KB
  20. 10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4 205.60MB
  21. 10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt 30.70KB
  22. 10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4 170.79MB
  23. 10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt 25.32KB
  24. 11. Project 6 Image Super Resolution/1. Intro.mp4 9.56MB
  25. 11. Project 6 Image Super Resolution/1. Intro.srt 1.51KB
  26. 11. Project 6 Image Super Resolution/1.1 Image Super Resolution.zip.zip 9.41MB
  27. 11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4 258.79MB
  28. 11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt 44.26KB
  29. 11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4 357.57MB
  30. 11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt 55.11KB
  31. 12. Project 7 Text Classification/1. Intro.mp4 5.00MB
  32. 12. Project 7 Text Classification/1. Intro.srt 1.39KB
  33. 12. Project 7 Text Classification/1.1 Text Classification.zip.zip 55.36KB
  34. 12. Project 7 Text Classification/2. Feature Engineering.mp4 375.39MB
  35. 12. Project 7 Text Classification/2. Feature Engineering.srt 56.48KB
  36. 12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4 204.23MB
  37. 12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt 32.28KB
  38. 13. Project 8 - KMeans/1. Intro.mp4 11.21MB
  39. 13. Project 8 - KMeans/1. Intro.srt 1.58KB
  40. 13. Project 8 - KMeans/1.1 KMeans.zip.zip 189.11KB
  41. 13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4 230.86MB
  42. 13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt 45.96KB
  43. 13. Project 8 - KMeans/3. Evaluation and Visualization.mp4 209.48MB
  44. 13. Project 8 - KMeans/3. Evaluation and Visualization.srt 34.79KB
  45. 14. Project 9 PCA/1. Intro.mp4 3.69MB
  46. 14. Project 9 PCA/1. Intro.srt 1.30KB
  47. 14. Project 9 PCA/1.1 PCA.zip.zip 219.64KB
  48. 14. Project 9 PCA/2. The Elbow Method.mp4 114.20MB
  49. 14. Project 9 PCA/2. The Elbow Method.srt 29.11KB
  50. 14. Project 9 PCA/3. PCA Compression and Visualization.mp4 185.00MB
  51. 14. Project 9 PCA/3. PCA Compression and Visualization.srt 36.13KB
  52. 2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4 25.47MB
  53. 2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt 18.30KB
  54. 2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html 53B
  55. 2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf 75.28KB
  56. 2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4 34.14MB
  57. 2. Supervised Learning - part 1/2. Linear Methods for Classification.srt 21.99KB
  58. 2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4 27.01MB
  59. 2. Supervised Learning - part 1/3. Linear Methods for Regression.srt 14.73KB
  60. 2. Supervised Learning - part 1/4. Support Vector Machines.mp4 35.79MB
  61. 2. Supervised Learning - part 1/4. Support Vector Machines.srt 20.46KB
  62. 2. Supervised Learning - part 1/5. Basis Expansions.mp4 21.32MB
  63. 2. Supervised Learning - part 1/5. Basis Expansions.srt 14.06KB
  64. 2. Supervised Learning - part 1/6. Model Selection Procedures.mp4 26.93MB
  65. 2. Supervised Learning - part 1/6. Model Selection Procedures.srt 17.05KB
  66. 2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4 31.01MB
  67. 2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt 18.94KB
  68. 2. Supervised Learning - part 1/7.1 Supervised Learning.zip.zip 167.22KB
  69. 2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4 36.22MB
  70. 2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt 17.81KB
  71. 2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html 65B
  72. 2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf 52.97KB
  73. 3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4 31.78MB
  74. 3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt 15.81KB
  75. 3. Unsupervised Learning/2. Association Rules.mp4 28.50MB
  76. 3. Unsupervised Learning/2. Association Rules.srt 18.71KB
  77. 3. Unsupervised Learning/3. Cluster Analysis.mp4 27.95MB
  78. 3. Unsupervised Learning/3. Cluster Analysis.srt 17.86KB
  79. 3. Unsupervised Learning/4. Reinforcement Learning.mp4 20.96MB
  80. 3. Unsupervised Learning/4. Reinforcement Learning.srt 22.35KB
  81. 3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4 21.95MB
  82. 3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt 19.77KB
  83. 3. Unsupervised Learning/5.1 Unsupervised Learning.zip.zip 92.48KB
  84. 3. Unsupervised Learning/6. Quiz- Questions- Section 3.html 65B
  85. 3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf 29.80KB
  86. 3. Unsupervised Learning/7. Quiz- Answers - Section 3.html 53B
  87. 3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf 41.25KB
  88. 4. Neural Networks/1. Introduction to Neural Networks.mp4 22.71MB
  89. 4. Neural Networks/1. Introduction to Neural Networks.srt 17.55KB
  90. 4. Neural Networks/2. The Perceptron.mp4 17.12MB
  91. 4. Neural Networks/2. The Perceptron.srt 13.35KB
  92. 4. Neural Networks/3. The Backpropagation Algorithm.mp4 22.64MB
  93. 4. Neural Networks/3. The Backpropagation Algorithm.srt 16.14KB
  94. 4. Neural Networks/4. Training Procedures.mp4 24.04MB
  95. 4. Neural Networks/4. Training Procedures.srt 18.74KB
  96. 4. Neural Networks/5. Convolutional Neural Networks.mp4 32.04MB
  97. 4. Neural Networks/5. Convolutional Neural Networks.srt 21.82KB
  98. 5. Real World Machine Learning/1. Introduction to Real World ML.mp4 25.58MB
  99. 5. Real World Machine Learning/1. Introduction to Real World ML.srt 16.38KB
  100. 5. Real World Machine Learning/2. Choosing an Algorithm.mp4 19.14MB
  101. 5. Real World Machine Learning/2. Choosing an Algorithm.srt 13.28KB
  102. 5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp4 19.79MB
  103. 5. Real World Machine Learning/3. Design and Analysis of ML Experiments.srt 14.47KB
  104. 5. Real World Machine Learning/4. Common Software for ML.mp4 31.33MB
  105. 5. Real World Machine Learning/4. Common Software for ML.srt 15.09KB
  106. 5. Real World Machine Learning/5. Quiz- Questions- Section 5.html 65B
  107. 5. Real World Machine Learning/5.1 Unit 5 Quiz.pdf.pdf 35.22KB
  108. 5. Real World Machine Learning/6. Quiz- Answers - Section 5.html 53B
  109. 5. Real World Machine Learning/6.1 Unit 5 Solutions.pdf.pdf 47.20KB
  110. 6. Warmup Project/1. Setting up OpenAI Gym.mp4 30.12MB
  111. 6. Warmup Project/1. Setting up OpenAI Gym.srt 17.17KB
  112. 6. Warmup Project/1.1 Final Project.zip.zip 47.02KB
  113. 6. Warmup Project/2. Building and Training the Network Part 1.mp4 36.02MB
  114. 6. Warmup Project/2. Building and Training the Network Part 1.srt 20.35KB
  115. 6. Warmup Project/3. Building and Training the Network Part 2.mp4 63.34MB
  116. 6. Warmup Project/3. Building and Training the Network Part 2.srt 26.95KB
  117. 7. Project 1Board Game Review Prediction/1. Intro.mp4 7.55MB
  118. 7. Project 1Board Game Review Prediction/1. Intro.srt 2.02KB
  119. 7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions.zip.zip 128.63KB
  120. 7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp4 17.73MB
  121. 7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.srt 12.67KB
  122. 7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp4 35.50MB
  123. 7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.srt 20.37KB
  124. 7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp4 35.82MB
  125. 7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.srt 16.81KB
  126. 8. Project 2 Credit Card Fraud Detection/1. Intro.mp4 7.57MB
  127. 8. Project 2 Credit Card Fraud Detection/1. Intro.srt 2.80KB
  128. 8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection.zip.zip 237.75KB
  129. 8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4 37.57MB
  130. 8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.srt 26.52KB
  131. 8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4 48.91MB
  132. 8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.srt 24.93KB
  133. 9. Project 4 Intro to Natural Language Processing/1. Intro.mp4 16.95MB
  134. 9. Project 4 Intro to Natural Language Processing/1. Intro.srt 1.66KB
  135. 9. Project 4 Intro to Natural Language Processing/1.1 Intro to Natural Language Processing.zip.zip 64.95KB
  136. 9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4 198.34MB
  137. 9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.srt 30.14KB
  138. 9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4 323.06MB
  139. 9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.srt 37.42KB
  140. 9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4 216.93MB
  141. 9. Project 4 Intro to Natural Language Processing/4. Text Classification.srt 29.66KB
  142. [FreeCourseLab.com].url 126B