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[] Udemy - Machine Learning Practical Workout 8 Real-World Projects

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  1. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/006 DL-and-ML-Practical-Tutorials-Package.zip 588MB
  2. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/042 Data Vizualization.mp4 207MB
  3. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/056 Model Training.mp4 182MB
  4. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/087 Collaborative Filter One Movie.mp4 169MB
  5. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/021 Data Visualization Cleaning.mp4 167MB
  6. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/086 Visualize Dataset.mp4 157MB
  7. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/057 Model Evaluation.mp4 149MB
  8. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/031 Data Vizualization.mp4 129MB
  9. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/004 ML vs. DL vs. AI.mp4 127MB
  10. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/071 Visualize Dataset Part 1.mp4 125MB
  11. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/027 Theory Part 2.mp4 124MB
  12. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/060 Naive Bayes Theory Part 2.mp4 121MB
  13. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/076 Apply NLP to Data.mp4 113MB
  14. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/081 Model Evaluation Part 2.mp4 112MB
  15. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/037 Image Augmentation Part 1.mp4 110MB
  16. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/038 Image augmentation Part 2.mp4 108MB
  17. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/070 Load Dataset.mp4 107MB
  18. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/035 Model Evaluation.mp4 106MB
  19. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/085 Import Movie Dataset.mp4 102MB
  20. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/063 Count Vectorizer.mp4 102MB
  21. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/033 Model Training Part 1.mp4 102MB
  22. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/022 Model Training 1.mp4 101MB
  23. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/028 Theory Part 3.mp4 99MB
  24. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/034 Model Training Part 2.mp4 91MB
  25. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/047 Explore Dataset.mp4 90MB
  26. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML Deep Dive.mp4 84MB
  27. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/055 Data Normalization.mp4 83MB
  28. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/088 Full Movie Recomendation.mp4 83MB
  29. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/024 Model Evaluation.mp4 83MB
  30. 02 ANACONDA AND JUPYTER INSTALLATION/012 How to run a Jupyter Notebook.mp4 82MB
  31. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/029 Theory Part 4.mp4 80MB
  32. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/016 Theory Part 3.mp4 79MB
  33. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/014 Theory Part 1.mp4 78MB
  34. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/053 Load Data.mp4 76MB
  35. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/061 Spam Project Overview.mp4 76MB
  36. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/052 Project Overview.mp4 75MB
  37. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/075 Exercise 3.mp4 73MB
  38. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/062 Visualize Dataset.mp4 73MB
  39. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/074 Exercise 2.mp4 73MB
  40. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/044 Make Predictions.mp4 72MB
  41. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/023 Model Training 2.mp4 71MB
  42. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/020 Import Data.mp4 71MB
  43. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/040 Project Overview.mp4 71MB
  44. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/019 Project Overview.mp4 70MB
  45. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/046 Load Avocado Data.mp4 65MB
  46. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/048 Make Predictions Part 1.mp4 65MB
  47. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/032 Data Preparation.mp4 61MB
  48. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/054 Data Exploration.mp4 59MB
  49. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/001 Welcome Message.mp4 59MB
  50. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/064 Model Training Part 1.mp4 56MB
  51. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/030 Problem Statement.mp4 56MB
  52. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/041 Import Dataset.mp4 56MB
  53. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/073 Exercise 1.mp4 53MB
  54. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/078 Model Training Part 1.mp4 50MB
  55. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/066 Testing.mp4 50MB
  56. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/015 Theory Part 2.mp4 49MB
  57. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/026 Theory Part 1.mp4 46MB
  58. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/017 Theory Part 4.mp4 45MB
  59. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/050 Make Prediction Part 2.1.mp4 43MB
  60. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/003 Course overview.mp4 43MB
  61. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/077 Apply Count Vectorizer to Data.mp4 40MB
  62. 02 ANACONDA AND JUPYTER INSTALLATION/009 Download and Set up Anaconda.mp4 39MB
  63. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/080 Model Evaluation Part 1.mp4 38MB
  64. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/069 Project Overview.mp4 38MB
  65. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/079 Model Training Part 2.mp4 38MB
  66. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/049 Make Predictions Part 2 (Region Specific).mp4 35MB
  67. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/065 Model Training Part 2.mp4 33MB
  68. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/036 Save the Model.mp4 33MB
  69. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/051 Introduction.mp4 32MB
  70. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/018 Theory Part 5.mp4 31MB
  71. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/058 Introduction.mp4 30MB
  72. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/043 Prepare the Data.mp4 29MB
  73. 02 ANACONDA AND JUPYTER INSTALLATION/010 What is Jupyter Notebook.mp4 27MB
  74. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/013 Introduction.mp4 26MB
  75. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/025 Introduction.mp4 25MB
  76. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/068 Theory.mp4 25MB
  77. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/084 Project Overview.mp4 23MB
  78. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/002 Updates on Udemy Reviews.mp4 23MB
  79. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/067 Introduction.mp4 21MB
  80. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/039 Introduction.mp4 20MB
  81. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/082 Introduction.mp4 15MB
  82. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/045 Introduction.mp4 15MB
  83. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/042 Data Vizualization.en.srt 41KB
  84. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/056 Model Training.en.srt 39KB
  85. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/087 Collaborative Filter One Movie.en.srt 32KB
  86. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/086 Visualize Dataset.en.srt 31KB
  87. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/021 Data Visualization Cleaning.en.srt 30KB
  88. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/057 Model Evaluation.en.srt 30KB
  89. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/022 Model Training 1.en.srt 27KB
  90. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/027 Theory Part 2.en.srt 27KB
  91. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/071 Visualize Dataset Part 1.en.srt 27KB
  92. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/059 Naive Bayes Theory Part 1.en.srt 26KB
  93. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/033 Model Training Part 1.en.srt 25KB
  94. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/029 Theory Part 4.en.srt 25KB
  95. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/004 ML vs. DL vs. AI.en.srt 24KB
  96. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/060 Naive Bayes Theory Part 2.en.srt 24KB
  97. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/037 Image Augmentation Part 1.en.srt 23KB
  98. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/085 Import Movie Dataset.en.srt 23KB
  99. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/063 Count Vectorizer.en.srt 22KB
  100. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/047 Explore Dataset.en.srt 21KB
  101. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/070 Load Dataset.en.srt 21KB
  102. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/055 Data Normalization.en.srt 21KB
  103. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/031 Data Vizualization.en.srt 21KB
  104. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/076 Apply NLP to Data.en.srt 21KB
  105. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/035 Model Evaluation.en.srt 21KB
  106. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/028 Theory Part 3.en.srt 20KB
  107. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML Deep Dive.en.srt 20KB
  108. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/014 Theory Part 1.en.srt 20KB
  109. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/088 Full Movie Recomendation.en.srt 19KB
  110. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/034 Model Training Part 2.en.srt 19KB
  111. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/081 Model Evaluation Part 2.en.srt 19KB
  112. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/038 Image augmentation Part 2.en.srt 18KB
  113. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/053 Load Data.en.srt 18KB
  114. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/024 Model Evaluation.en.srt 18KB
  115. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/075 Exercise 3.en.srt 17KB
  116. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/074 Exercise 2.en.srt 16KB
  117. 02 ANACONDA AND JUPYTER INSTALLATION/012 How to run a Jupyter Notebook.en.srt 16KB
  118. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/048 Make Predictions Part 1.en.srt 16KB
  119. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/072 Visualize Dataset Part 2.en.srt 16KB
  120. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/016 Theory Part 3.en.srt 16KB
  121. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/062 Visualize Dataset.en.srt 15KB
  122. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/023 Model Training 2.en.srt 15KB
  123. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/032 Data Preparation.en.srt 15KB
  124. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/061 Spam Project Overview.en.srt 15KB
  125. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/073 Exercise 1.en.srt 15KB
  126. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/020 Import Data.en.srt 14KB
  127. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/064 Model Training Part 1.en.srt 14KB
  128. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/046 Load Avocado Data.en.srt 13KB
  129. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/052 Project Overview.en.srt 13KB
  130. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/083 Theory.en.srt 13KB
  131. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/030 Problem Statement.en.srt 13KB
  132. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/003 Course overview.en.srt 13KB
  133. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/044 Make Predictions.en.srt 13KB
  134. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/054 Data Exploration.en.srt 12KB
  135. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/078 Model Training Part 1.en.srt 12KB
  136. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/015 Theory Part 2.en.srt 11KB
  137. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/066 Testing.en.srt 11KB
  138. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/041 Import Dataset.en.srt 11KB
  139. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/040 Project Overview.en.srt 10KB
  140. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/017 Theory Part 4.en.srt 10KB
  141. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/019 Project Overview.en.srt 10KB
  142. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/080 Model Evaluation Part 1.en.srt 10KB
  143. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/050 Make Prediction Part 2.1.en.srt 9KB
  144. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/026 Theory Part 1.en.srt 9KB
  145. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/069 Project Overview.en.srt 9KB
  146. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/049 Make Predictions Part 2 (Region Specific).en.srt 8KB
  147. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/079 Model Training Part 2.en.srt 8KB
  148. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/018 Theory Part 5.en.srt 8KB
  149. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/065 Model Training Part 2.en.srt 7KB
  150. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/043 Prepare the Data.en.srt 7KB
  151. 02 ANACONDA AND JUPYTER INSTALLATION/009 Download and Set up Anaconda.en.srt 6KB
  152. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/036 Save the Model.en.srt 6KB
  153. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/077 Apply Count Vectorizer to Data.en.srt 6KB
  154. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/084 Project Overview.en.srt 5KB
  155. 02 ANACONDA AND JUPYTER INSTALLATION/010 What is Jupyter Notebook.en.srt 5KB
  156. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/068 Theory.en.srt 5KB
  157. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/001 Welcome Message.en.srt 4KB
  158. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/008 BONUS 5 Benefits of Jupyter Notebook.html 3KB
  159. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/051 Introduction.en.srt 2KB
  160. 11 Bonus Lectures/089 YOUR SPECIAL BONUS.html 2KB
  161. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/007 BONUS ML vs DL vs AI.html 2KB
  162. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/058 Introduction.en.srt 2KB
  163. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/002 Updates on Udemy Reviews.en.srt 2KB
  164. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/013 Introduction.en.srt 2KB
  165. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/025 Introduction.en.srt 2KB
  166. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/039 Introduction.en.srt 1KB
  167. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/067 Introduction.en.srt 1KB
  168. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/006 Download Course Materials.html 1KB
  169. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/082 Introduction.en.srt 1KB
  170. 02 ANACONDA AND JUPYTER INSTALLATION/011 Install Tensorflow.html 1KB
  171. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/045 Introduction.en.srt 1KB
  172. 0. Websites you may like/[FCS Forum].url 133B
  173. 0. Websites you may like/[FreeCourseSite.com].url 127B
  174. 0. Websites you may like/[CourseClub.ME].url 122B