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[Udemy] End-To-End Machine Learning Projects&Deployment Mastery 2021 (2020)

  • 收录时间:2020-12-30 14:46:12
  • 文件大小:11GB
  • 下载次数:4
  • 最近下载:2021-01-08 15:36:14
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文件列表

  1. 14 Amazon Web Service(AWS) Deployment/075 PART 1.mp4 536MB
  2. 10 Streamlit Project/050 Building Your First Streamlit App-Advance 3.mp4 460MB
  3. 13 Google Cloud Deployment/070 GCP Deployment Lesson.mp4 457MB
  4. 10 Streamlit Project/047 Building Your First Streamlit App.mp4 433MB
  5. 10 Streamlit Project/045 Introduction to Streamlit 2.mp4 401MB
  6. 07 BigMart Sales Prediction/035 Feature Engineering, Selection And Transformation.mp4 395MB
  7. 07 BigMart Sales Prediction/034 Exploratory Data Analysis (EDA).mp4 383MB
  8. 11 Flask Deployment/054 Exploratory Data Analysis (EDA).mp4 350MB
  9. 10 Streamlit Project/048 Building Your First Streamlit App-Advance 1.mp4 327MB
  10. 12 Heroku Deployment/066 Heroku Deployment 1.mp4 287MB
  11. 06 Stock Market Clustering Using K-Means Algorithm/031 Model Building.mp4 270MB
  12. 08 Amazon Employee Access Challenge/039 Exploratory Data Analysis (EDA).mp4 269MB
  13. 02 Breast Cancer Detection Using SVM And KNN/008 Model Building.mp4 257MB
  14. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/022 Model Building 1.mp4 253MB
  15. 11 Flask Deployment/056 Introduction to Flask.mp4 235MB
  16. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/023 Model Building 2.mp4 226MB
  17. 15 Microsoft Azure Deployment/078 Azure Deployment.mp4 214MB
  18. 11 Flask Deployment/055 Model Building.mp4 211MB
  19. 11 Flask Deployment/059 Final Deployment.mp4 204MB
  20. 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/025 Exploratory Data Analysis (EDA).mp4 201MB
  21. 10 Streamlit Project/046 Introduction to Streamlit 3.mp4 195MB
  22. 02 Breast Cancer Detection Using SVM And KNN/007 Exploratory Data Analysis (EDA).mp4 192MB
  23. 08 Amazon Employee Access Challenge/040 Model Building 1.mp4 190MB
  24. 10 Streamlit Project/049 Building Your First Streamlit App-Advance 2.mp4 189MB
  25. 12 Heroku Deployment/064 Further Data Preparation.mp4 187MB
  26. 14 Amazon Web Service(AWS) Deployment/074 App.py File.mp4 186MB
  27. 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/027 Model Building 2.mp4 186MB
  28. 06 Stock Market Clustering Using K-Means Algorithm/030 Data Extraction And Analysis.mp4 185MB
  29. 11 Flask Deployment/058 Creating Folder Contents.mp4 178MB
  30. 11 Flask Deployment/057 Creating The Necessary Folders.mp4 178MB
  31. 12 Heroku Deployment/065 Model Building And Hyperparameter Tuning.mp4 168MB
  32. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/019 Exploratory Data Analysis (EDA) 1.mp4 166MB
  33. 10 Streamlit Project/044 Introduction to Streamlit 1.mp4 166MB
  34. 08 Amazon Employee Access Challenge/041 Model Building 2.mp4 164MB
  35. 02 Breast Cancer Detection Using SVM And KNN/006 Data Preprocessing.mp4 160MB
  36. 07 BigMart Sales Prediction/036 Model Building.mp4 157MB
  37. 03 Bank Note Analysis/012 Bank Note Analysis-Getting Our Dataset Ready For Model Building.mp4 152MB
  38. 10 Streamlit Project/043 Demo.mp4 142MB
  39. 03 Bank Note Analysis/011 Bank Note Analysis-EDA.mp4 135MB
  40. 03 Bank Note Analysis/013 Model Building 1.mp4 130MB
  41. 14 Amazon Web Service(AWS) Deployment/076 PART 2.mp4 127MB
  42. 03 Bank Note Analysis/014 Model Building 2.mp4 126MB
  43. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/020 Exploratory Data Analysis (EDA) 2.mp4 123MB
  44. 12 Heroku Deployment/062 Exploratory Data Analysis (EDA).mp4 112MB
  45. 12 Heroku Deployment/063 Feature Engineering.mp4 104MB
  46. 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/026 Model Building 1.mp4 94MB
  47. 03 Bank Note Analysis/015 Model Building 3.mp4 93MB
  48. 12 Heroku Deployment/067 Heroku Deployment 2.mp4 90MB
  49. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/018 Data Preprocessing.mp4 83MB
  50. 11 Flask Deployment/053 Introduction to Dataset.mp4 77MB
  51. 02 Breast Cancer Detection Using SVM And KNN/005 Summary Of Dataset.mp4 62MB
  52. 11 Flask Deployment/052 Flask Introduction.mp4 50MB
  53. 12 Heroku Deployment/061 Heroku Introduction.mp4 50MB
  54. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/021 Feature Engineering.mp4 45MB
  55. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/017 Introduction.mp4 44MB
  56. 02 Breast Cancer Detection Using SVM And KNN/004 Introduction.mp4 42MB
  57. 07 BigMart Sales Prediction/033 Introduction.mp4 41MB
  58. 06 Stock Market Clustering Using K-Means Algorithm/029 Introduction.mp4 36MB
  59. 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/024 Introduction.mp4 36MB
  60. 03 Bank Note Analysis/010 Introduction.mp4 35MB
  61. 01 Introduction/001 Welcome.mp4 29MB
  62. 08 Amazon Employee Access Challenge/038 Introduction.mp4 28MB
  63. 14 Amazon Web Service(AWS) Deployment/073 Dataset.mp4 23MB
  64. 14 Amazon Web Service(AWS) Deployment/072 AWS Introduction.mp4 21MB
  65. 13 Google Cloud Deployment/069 Google Cloud Introduction.mp4 11MB
  66. 14 Amazon Web Service(AWS) Deployment/071 AWS-Guide.pdf 4MB
  67. 03 Bank Note Analysis/009 BankNoteAnalysisProject-1.html 3MB
  68. 13 Google Cloud Deployment/068 google-cloud-guide.pdf 2MB
  69. 15 Microsoft Azure Deployment/077 TDS-Microsoft-Azure-Deployment.pdf 2MB
  70. 08 Amazon Employee Access Challenge/037 amazontrain-1.csv 2MB
  71. 08 Amazon Employee Access Challenge/037 Amazon-EmployeeAceess.html 967KB
  72. 02 Breast Cancer Detection Using SVM And KNN/003 BreastCancerProject-1.html 878KB
  73. 07 BigMart Sales Prediction/032 train-1.csv 849KB
  74. 07 BigMart Sales Prediction/032 test-1.csv 515KB
  75. 14 Amazon Web Service(AWS) Deployment/071 marriage.csv 197KB
  76. 10 Streamlit Project/047 Building Your First Streamlit App.en.srt 93KB
  77. 11 Flask Deployment/054 Exploratory Data Analysis (EDA).en.srt 84KB
  78. 10 Streamlit Project/050 Building Your First Streamlit App-Advance 3.en.srt 83KB
  79. 07 BigMart Sales Prediction/034 Exploratory Data Analysis (EDA).en.srt 83KB
  80. 07 BigMart Sales Prediction/035 Feature Engineering, Selection And Transformation.en.srt 74KB
  81. 10 Streamlit Project/045 Introduction to Streamlit 2.en.srt 69KB
  82. 10 Streamlit Project/048 Building Your First Streamlit App-Advance 1.en.srt 66KB
  83. 13 Google Cloud Deployment/070 GCP Deployment Lesson.en.srt 65KB
  84. 14 Amazon Web Service(AWS) Deployment/075 PART 1.en.srt 64KB
  85. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/022 Model Building 1.en.srt 62KB
  86. 08 Amazon Employee Access Challenge/039 Exploratory Data Analysis (EDA).en.srt 58KB
  87. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/016 compresive-strength-concrete-2.csv 58KB
  88. 06 Stock Market Clustering Using K-Means Algorithm/031 Model Building.en.srt 55KB
  89. 12 Heroku Deployment/066 Heroku Deployment 1.en.srt 49KB
  90. 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/025 Exploratory Data Analysis (EDA).en.srt 48KB
  91. 11 Flask Deployment/057 Creating The Necessary Folders.en.srt 46KB
  92. 03 Bank Note Analysis/009 BankNote-Authentication-1.csv 45KB
  93. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/023 Model Building 2.en.srt 44KB
  94. 02 Breast Cancer Detection Using SVM And KNN/008 Model Building.en.srt 43KB
  95. 11 Flask Deployment/055 Model Building.en.srt 43KB
  96. 01 Introduction/002 Set-Up-Your-Environment.pdf 39KB
  97. 10 Streamlit Project/046 Introduction to Streamlit 3.en.srt 38KB
  98. 15 Microsoft Azure Deployment/078 Azure Deployment.en.srt 38KB
  99. 12 Heroku Deployment/065 Model Building And Hyperparameter Tuning.en.srt 38KB
  100. 06 Stock Market Clustering Using K-Means Algorithm/030 Data Extraction And Analysis.en.srt 37KB
  101. 10 Streamlit Project/044 Introduction to Streamlit 1.en.srt 37KB
  102. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/019 Exploratory Data Analysis (EDA) 1.en.srt 35KB
  103. 12 Heroku Deployment/064 Further Data Preparation.en.srt 34KB
  104. 10 Streamlit Project/049 Building Your First Streamlit App-Advance 2.en.srt 34KB
  105. 10 Streamlit Project/043 Demo.en.srt 34KB
  106. 11 Flask Deployment/059 Final Deployment.en.srt 33KB
  107. 08 Amazon Employee Access Challenge/041 Model Building 2.en.srt 33KB
  108. 02 Breast Cancer Detection Using SVM And KNN/006 Data Preprocessing.en.srt 33KB
  109. 14 Amazon Web Service(AWS) Deployment/071 year-of-marriage.ipynb 32KB
  110. 08 Amazon Employee Access Challenge/040 Model Building 1.en.srt 32KB
  111. 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/027 Model Building 2.en.srt 31KB
  112. 11 Flask Deployment/058 Creating Folder Contents.en.srt 29KB
  113. 03 Bank Note Analysis/012 Bank Note Analysis-Getting Our Dataset Ready For Model Building.en.srt 29KB
  114. 03 Bank Note Analysis/011 Bank Note Analysis-EDA.en.srt 29KB
  115. 02 Breast Cancer Detection Using SVM And KNN/007 Exploratory Data Analysis (EDA).en.srt 26KB
  116. 12 Heroku Deployment/062 Exploratory Data Analysis (EDA).en.srt 25KB
  117. 03 Bank Note Analysis/013 Model Building 1.en.srt 25KB
  118. 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/026 Model Building 1.en.srt 25KB
  119. 12 Heroku Deployment/063 Feature Engineering.en.srt 24KB
  120. 03 Bank Note Analysis/014 Model Building 2.en.srt 24KB
  121. 07 BigMart Sales Prediction/036 Model Building.en.srt 24KB
  122. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/020 Exploratory Data Analysis (EDA) 2.en.srt 22KB
  123. 14 Amazon Web Service(AWS) Deployment/074 App.py File.en.srt 20KB
  124. 02 Breast Cancer Detection Using SVM And KNN/003 breastCancer.csv 20KB
  125. 11 Flask Deployment/056 Introduction to Flask.en.srt 19KB
  126. 12 Heroku Deployment/067 Heroku Deployment 2.en.srt 18KB
  127. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/018 Data Preprocessing.en.srt 17KB
  128. 14 Amazon Web Service(AWS) Deployment/076 PART 2.en.srt 17KB
  129. 03 Bank Note Analysis/015 Model Building 3.en.srt 16KB
  130. 11 Flask Deployment/053 Introduction to Dataset.en.srt 14KB
  131. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/021 Feature Engineering.en.srt 13KB
  132. 14 Amazon Web Service(AWS) Deployment/071 index.html 12KB
  133. 02 Breast Cancer Detection Using SVM And KNN/005 Summary Of Dataset.en.srt 10KB
  134. 13 Google Cloud Deployment/068 main.py 10KB
  135. 12 Heroku Deployment/061 Heroku Introduction.en.srt 9KB
  136. 11 Flask Deployment/052 Flask Introduction.en.srt 6KB
  137. 11 Flask Deployment/051 Lecture Resources.html 6KB
  138. 01 Introduction/001 Welcome.en.srt 5KB
  139. 05 Credit Card Fraud Detection-(Dealing With Data Imbalance)/024 Introduction.en.srt 4KB
  140. 07 BigMart Sales Prediction/033 Introduction.en.srt 4KB
  141. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/017 Introduction.en.srt 4KB
  142. 14 Amazon Web Service(AWS) Deployment/072 AWS Introduction.en.srt 4KB
  143. 02 Breast Cancer Detection Using SVM And KNN/004 Introduction.en.srt 4KB
  144. 06 Stock Market Clustering Using K-Means Algorithm/029 Introduction.en.srt 4KB
  145. 03 Bank Note Analysis/010 Introduction.en.srt 4KB
  146. 14 Amazon Web Service(AWS) Deployment/073 Dataset.en.srt 4KB
  147. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/016 Lecture Resources.html 3KB
  148. 01 Introduction/002 Steps.html 3KB
  149. 02 Breast Cancer Detection Using SVM And KNN/003 Lecture Resources.html 3KB
  150. 08 Amazon Employee Access Challenge/038 Introduction.en.srt 3KB
  151. 03 Bank Note Analysis/009 Lecture Resources.html 3KB
  152. 08 Amazon Employee Access Challenge/037 Lecture Resources.html 2KB
  153. 13 Google Cloud Deployment/069 Google Cloud Introduction.en.srt 2KB
  154. 10 Streamlit Project/042 Lecture Resources.html 2KB
  155. 07 BigMart Sales Prediction/032 Lecture Resources.html 2KB
  156. 12 Heroku Deployment/060 Lecture Resources.html 2KB
  157. 06 Stock Market Clustering Using K-Means Algorithm/028 Lecture Resources.html 2KB
  158. 13 Google Cloud Deployment/068 Lecture Resources.html 2KB
  159. 16 Final Project/079 Introduction.html 1KB
  160. 15 Microsoft Azure Deployment/077 Lecture Resources.html 992B
  161. 13 Google Cloud Deployment/068 model.pkl 961B
  162. 14 Amazon Web Service(AWS) Deployment/071 Lecture Resources.html 960B
  163. 14 Amazon Web Service(AWS) Deployment/071 app-1.py 799B
  164. 13 Google Cloud Deployment/068 requirements.txt 341B
  165. 06 Stock Market Clustering Using K-Means Algorithm/028 StockMarketClusteringProject-1.ipynb 186B
  166. 08 Amazon Employee Access Challenge/037 amazontest-1.csv 164B
  167. 11 Flask Deployment/external-assets-links.txt 132B
  168. 04 Predicting Compressive Strength of Concrete-(Compare performance of 18 models)/external-assets-links.txt 111B
  169. 12 Heroku Deployment/external-assets-links.txt 104B
  170. 13 Google Cloud Deployment/external-assets-links.txt 89B
  171. 03 Bank Note Analysis/external-assets-links.txt 83B
  172. 15 Microsoft Azure Deployment/external-assets-links.txt 82B
  173. 10 Streamlit Project/external-assets-links.txt 75B
  174. 13 Google Cloud Deployment/068 app.yaml 17B
  175. Rubbish/tmp/lock 0B