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Udemy A Z Machine Learning using Azure Machine Learning AzureML FTU
Udemy A Z Machine Learning using Azure Machine Learning AzureML FTU
Udemy A Z Machine Learning using Azure Machine Learning AzureML FTU
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  1. 0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url 377 bytes
  2. 1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url 328 bytes
  3. 2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286 bytes
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  5. 4. (FTUApps.com) Download Cracked Developers Applications For Free.url 239 bytes
  6. How you can help Team-FTU.txt 229 bytes
  7. 1. What You Will Learn in This Section.mp4 19.2 MB
  8. 1. What You Will Learn in This Section.srt 2.6 KB
  9. 1. What You Will Learn in This Section.vtt 2.3 KB
  10. 2. The course slides for all sections.html 336 bytes
  11. 2.1 Section 01 - Basics of Machine Learning.pdf.pdf 1.8 MB
  12. 2.10 Section 05 - Tune Hyperparameter.pdf.pdf 1.2 MB
  13. 2.11 Section 11 - Recommendation System.pdf.pdf 3.1 MB
  14. 2.12 Section 10 - Feature Selection.pdf.pdf 2.9 MB
  15. 2.13 Section 03 - Data Pre-processing.pdf.pdf 1.0 MB
  16. 2.14 Section 09 - Data Processing.pdf.pdf 2.8 MB
  17. 2.2 Section 06 - Deploy Webservice.pdf.pdf 702.4 KB
  18. 2.3 Section - Text Analytics.pdf.pdf 2.0 MB
  19. 2.4 Section 02 - Getting Started with AzureML.pdf.pdf 2.7 MB
  20. 2.5 Section 07 - Regression.pdf.pdf 2.8 MB
  21. 2.6 Section 04 - Classification - 001 - Logistic Regression.pdf.pdf 1.4 MB
  22. 2.7 Section 08 - Clustering.pdf.pdf 1.5 MB
  23. 2.8 Section 04 - Classification - 003 - SVM.pdf.pdf 1.1 MB
  24. 2.9 Section 04 - Classification - 002 - Decision Tree.pdf.pdf 3.4 MB
  25. 3. Important Message About Udemy Reviews.mp4 19.2 MB
  26. 3. Important Message About Udemy Reviews.srt 4.2 KB
  27. 3. Important Message About Udemy Reviews.vtt 3.7 KB
  28. 4. Why Machine Learning is the Future.mp4 68.7 MB
  29. 4. Why Machine Learning is the Future.srt 10.1 KB
  30. 4. Why Machine Learning is the Future.vtt 9.2 KB
  31. 5. What is Machine Learning.mp4 18.5 MB
  32. 5. What is Machine Learning.srt 10.7 KB
  33. 5. What is Machine Learning.vtt 9.7 KB
  34. 6. Understanding various aspects of data - Type, Variables, Category.mp4 13.6 MB
  35. 6. Understanding various aspects of data - Type, Variables, Category.srt 7.9 KB
  36. 6. Understanding various aspects of data - Type, Variables, Category.vtt 7.1 KB
  37. 7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.mp4 13.3 MB
  38. 7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.srt 8.3 KB
  39. 7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.vtt 7.5 KB
  40. 8. Types of Machine Learning Models - Classification, Regression, Clustering etc.mp4 19.0 MB
  41. 8. Types of Machine Learning Models - Classification, Regression, Clustering etc.srt 10.0 KB
  42. 8. Types of Machine Learning Models - Classification, Regression, Clustering etc.vtt 9.2 KB
  43. 9. Basics of Machine Learning.html 140 bytes
  44. 1. Feature Selection - Section Introduction.mp4 7.7 MB
  45. 1. Feature Selection - Section Introduction.srt 6.9 KB
  46. 1. Feature Selection - Section Introduction.vtt 6.2 KB
  47. 2. Pearson Correlation Coefficient.mp4 47.2 MB
  48. 2. Pearson Correlation Coefficient.srt 7.5 KB
  49. 2. Pearson Correlation Coefficient.vtt 6.6 KB
  50. 3. Chi Square Test of Independence.mp4 8.3 MB
  51. 3. Chi Square Test of Independence.srt 6.0 KB
  52. 3. Chi Square Test of Independence.vtt 5.4 KB
  53. 4. Kendall Correlation Coefficient.mp4 6.7 MB
  54. 4. Kendall Correlation Coefficient.srt 4.4 KB
  55. 4. Kendall Correlation Coefficient.vtt 4.0 KB
  56. 5. Spearman's Rank Correlation.mp4 6.4 MB
  57. 5. Spearman's Rank Correlation.srt 4.0 KB
  58. 5. Spearman's Rank Correlation.vtt 3.6 KB
  59. 6. [Hands On] - Comparison Experiment for Correlation Coefficients.mp4 13.2 MB
  60. 6. [Hands On] - Comparison Experiment for Correlation Coefficients.srt 7.8 KB
  61. 6. [Hands On] - Comparison Experiment for Correlation Coefficients.vtt 7.1 KB
  62. 7. [Hands On] - Filter Based Selection - AzureML Experiment.mp4 6.4 MB
  63. 7. [Hands On] - Filter Based Selection - AzureML Experiment.srt 3.9 KB
  64. 7. [Hands On] - Filter Based Selection - AzureML Experiment.vtt 3.5 KB
  65. 8. Fisher Based LDA - Intuition.mp4 24.1 MB
  66. 8. Fisher Based LDA - Intuition.srt 5.5 KB
  67. 8. Fisher Based LDA - Intuition.vtt 5.0 KB
  68. 9. [Hands On] - Fisher Based LDA - Experiment.mp4 61.1 MB
  69. 9. [Hands On] - Fisher Based LDA - Experiment.srt 6.5 KB
  70. 9. [Hands On] - Fisher Based LDA - Experiment.vtt 5.8 KB
  71. 9.1 Wine-Low-Medium-High.csv.csv 95.4 KB
  72. 1. What is a Recommendation System.mp4 35.0 MB
  73. 1. What is a Recommendation System.srt 16.1 KB
  74. 1. What is a Recommendation System.vtt 14.6 KB
  75. 2. Data Preparation using Recommender Split.mp4 14.9 MB
  76. 2. Data Preparation using Recommender Split.srt 8.0 KB
  77. 2. Data Preparation using Recommender Split.vtt 7.3 KB
  78. 3. What is Matchbox Recommender and Train Matchbox Recommender.mp4 14.6 MB
  79. 3. What is Matchbox Recommender and Train Matchbox Recommender.srt 8.0 KB
  80. 3. What is Matchbox Recommender and Train Matchbox Recommender.vtt 7.3 KB
  81. 4. How to Score the Matchbox Recommender.mp4 10.9 MB
  82. 4. How to Score the Matchbox Recommender.srt 5.7 KB
  83. 4. How to Score the Matchbox Recommender.vtt 5.2 KB
  84. 5. [Hands On] - Restaurant Recommendation Experiment.mp4 36.2 MB
  85. 5. [Hands On] - Restaurant Recommendation Experiment.srt 12.6 KB
  86. 5. [Hands On] - Restaurant Recommendation Experiment.vtt 11.3 KB
  87. 6. Understanding the Matchbox Recommendation Results.mp4 17.4 MB
  88. 6. Understanding the Matchbox Recommendation Results.srt 8.0 KB
  89. 6. Understanding the Matchbox Recommendation Results.vtt 7.2 KB
  90. 7. Recommendation System.html 141 bytes
  91. 1. What is Text Analytics or Natural Language Processing.mp4 44.8 MB
  92. 1. What is Text Analytics or Natural Language Processing.srt 8.4 KB
  93. 1. What is Text Analytics or Natural Language Processing.vtt 7.4 KB
  94. 2. Text Pre-Processing.mp4 54.6 MB
  95. 2. Text Pre-Processing.srt 15.2 KB
  96. 2. Text Pre-Processing.vtt 13.2 KB
  97. 3. Bag Of Words and N-Gram Models for Text features.mp4 50.0 MB
  98. 3. Bag Of Words and N-Gram Models for Text features.srt 8.6 KB
  99. 3. Bag Of Words and N-Gram Models for Text features.vtt 7.6 KB
  100. 4. Feature Hashing.mp4 75.2 MB
  101. 4. Feature Hashing.srt 14.6 KB
  102. 4. Feature Hashing.vtt 12.7 KB
  103. 5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4 87.4 MB
  104. 5. [Hands On] - Classify Customer Complaints using Text Analytics.srt 11.0 KB
  105. 5. [Hands On] - Classify Customer Complaints using Text Analytics.vtt 9.6 KB
  106. 5.1 two-class complaints modified.txt.txt 47.4 KB
  107. 1. Way Forward.mp4 50.0 MB
  108. 1. Way Forward.srt 5.4 KB
  109. 1. Way Forward.vtt 4.9 KB
  110. 1.1 Links for datasets.pdf.pdf 261.4 KB
  111. 2. Bonus Lecture.html 6.9 KB
  112. 1. What You Will Learn in This Section.mp4 13.6 MB
  113. 1. What You Will Learn in This Section.srt 2.3 KB
  114. 1. What You Will Learn in This Section.vtt 2.1 KB
  115. 2. What is Azure ML and high level architecture..mp4 23.2 MB
  116. 2. What is Azure ML and high level architecture..srt 3.8 KB
  117. 2. What is Azure ML and high level architecture..vtt 3.5 KB
  118. 3. Creating a Free Azure ML Account.mp4 13.4 MB
  119. 3. Creating a Free Azure ML Account.srt 2.4 KB
  120. 3. Creating a Free Azure ML Account.vtt 2.2 KB
  121. 4. Azure ML Studio Overview and walk-through.mp4 12.2 MB
  122. 4. Azure ML Studio Overview and walk-through.srt 5.0 KB
  123. 4. Azure ML Studio Overview and walk-through.vtt 4.5 KB
  124. 5. Azure ML Experiment Workflow.mp4 13.2 MB
  125. 5. Azure ML Experiment Workflow.srt 7.4 KB
  126. 5. Azure ML Experiment Workflow.vtt 6.7 KB
  127. 6. Azure ML Cheat Sheet for Model Selection.mp4 11.3 MB
  128. 6. Azure ML Cheat Sheet for Model Selection.srt 6.4 KB
  129. 6. Azure ML Cheat Sheet for Model Selection.vtt 5.8 KB
  130. 6.1 ml_studio_overview_v1.1.pdf.pdf 2.2 MB
  131. 6.2 microsoft-machine-learning-algorithm-cheat-sheet-v6.pdf.pdf 404.1 KB
  132. 7. Getting Started with AzureML.html 140 bytes
  133. 1. [Hands On] - Data Input-Output - Upload Data.mp4 51.0 MB
  134. 1. [Hands On] - Data Input-Output - Upload Data.srt 7.9 KB
  135. 1. [Hands On] - Data Input-Output - Upload Data.vtt 7.2 KB
  136. 1.1 Employee Dataset - Full.csv.csv 1.9 KB
  137. 2. [Hands On] - Data Input-Output - Convert and Unpack.mp4 22.1 MB
  138. 2. [Hands On] - Data Input-Output - Convert and Unpack.srt 9.0 KB
  139. 2. [Hands On] - Data Input-Output - Convert and Unpack.vtt 8.1 KB
  140. 2.1 Employee Dataset - Full.zip.zip 773 bytes
  141. 3. [Hands On] - Data Input-Output - Import Data.mp4 13.1 MB
  142. 3. [Hands On] - Data Input-Output - Import Data.srt 6.4 KB
  143. 3. [Hands On] - Data Input-Output - Import Data.vtt 5.7 KB
  144. 3.1 Adult Dataset URL.txt.txt 74 bytes
  145. 4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.mp4 26.5 MB
  146. 4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.srt 11.5 KB
  147. 4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.vtt 10.3 KB
  148. 4.1 Employee Dataset - TSV.txt.txt 1.9 KB
  149. 4.2 Employee Dataset - AR2.csv.csv 1.3 KB
  150. 4.3 Employee Dataset - AC2.csv.csv 260 bytes
  151. 4.4 Employee Dataset - AR1.csv.csv 672 bytes
  152. 4.5 Employee Dataset - AC1.csv.csv 1.6 KB
  153. 5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4 38.9 MB
  154. 5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.srt 18.0 KB
  155. 5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.vtt 16.2 KB
  156. 5.1 Wine Quality Dataset.csv.csv 83.7 KB
  157. 5.2 SQL Statement - Wine.txt.txt 141 bytes
  158. 6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.mp4 35.5 MB
  159. 6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.srt 16.1 KB
  160. 6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.vtt 14.5 KB
  161. 7. Data Processing.html 140 bytes
  162. 1. Logistic Regression - What is Logistic Regression.mp4 30.7 MB
  163. 1. Logistic Regression - What is Logistic Regression.srt 6.4 KB
  164. 1. Logistic Regression - What is Logistic Regression.vtt 5.8 KB
  165. 10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.mp4 25.2 MB
  166. 10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.srt 9.9 KB
  167. 10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.vtt 9.0 KB
  168. 10.1 Bank Telemarketing.csv.csv 4.7 MB
  169. 11. Decision Forest - Parameters Explained.mp4 5.8 MB
  170. 11. Decision Forest - Parameters Explained.srt 3.8 KB
  171. 11. Decision Forest - Parameters Explained.vtt 3.4 KB
  172. 12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.mp4 35.1 MB
  173. 12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.srt 13.9 KB
  174. 12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.vtt 12.5 KB
  175. 13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.mp4 18.6 MB
  176. 13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.srt 7.9 KB
  177. 13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.vtt 7.0 KB
  178. 13.1 IRIS Dataset Link.txt.txt 74 bytes
  179. 14. SVM - What is Support Vector Machine.mp4 14.9 MB
  180. 14. SVM - What is Support Vector Machine.srt 3.7 KB
  181. 14. SVM - What is Support Vector Machine.vtt 3.2 KB
  182. 15. [Hands On] - SVM - Adult Census Income Prediction.mp4 13.8 MB
  183. 15. [Hands On] - SVM - Adult Census Income Prediction.srt 5.5 KB
  184. 15. [Hands On] - SVM - Adult Census Income Prediction.vtt 5.0 KB
  185. 16. Classification Quiz.html 140 bytes
  186. 2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.mp4 52.2 MB
  187. 2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.srt 21.9 KB
  188. 2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.vtt 19.8 KB
  189. 2.1 Loan Approval Prediction.csv.csv 37.1 KB
  190. 3. Logistic Regression - Understand Parameters and Their Impact.mp4 19.5 MB
  191. 3. Logistic Regression - Understand Parameters and Their Impact.srt 12.5 KB
  192. 3. Logistic Regression - Understand Parameters and Their Impact.vtt 11.3 KB
  193. 4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4 29.4 MB
  194. 4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.srt 13.1 KB
  195. 4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.vtt 11.9 KB
  196. 4.1 004 - Logistic Regression - Understanding the results.xlsx.xlsx 24.0 KB
  197. 5. Logistic Regression - Model Selection and Impact Analysis.mp4 13.8 MB
  198. 5. Logistic Regression - Model Selection and Impact Analysis.srt 5.6 KB
  199. 5. Logistic Regression - Model Selection and Impact Analysis.vtt 5.0 KB
  200. 6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.mp4 19.7 MB
  201. 6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.srt 8.4 KB
  202. 6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.vtt 7.5 KB
  203. 6.1 winequality-red.csv.csv 83.7 KB
  204. 7. Decision Tree - What is Decision Tree.mp4 14.3 MB
  205. 7. Decision Tree - What is Decision Tree.srt 7.8 KB
  206. 7. Decision Tree - What is Decision Tree.vtt 7.0 KB
  207. 8. Decision Tree - Ensemble Learning - Bagging and Boosting.mp4 12.9 MB
  208. 8. Decision Tree - Ensemble Learning - Bagging and Boosting.srt 7.3 KB
  209. 8. Decision Tree - Ensemble Learning - Bagging and Boosting.vtt 6.6 KB
  210. 9. Decision Tree - Parameters - Two Class Boosted Decision Tree.mp4 12.1 MB
  211. 9. Decision Tree - Parameters - Two Class Boosted Decision Tree.srt 5.9 KB
  212. 9. Decision Tree - Parameters - Two Class Boosted Decision Tree.vtt 5.4 KB
  213. 1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.mp4 21.9 MB
  214. 1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.srt 9.6 KB
  215. 1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.vtt 8.7 KB
  216. 2. Hyperparameter Tuning.html 140 bytes
  217. 1. Azure ML Webservice - Prepare the experiment for webservice.mp4 5.6 MB
  218. 1. Azure ML Webservice - Prepare the experiment for webservice.srt 2.5 KB
  219. 1. Azure ML Webservice - Prepare the experiment for webservice.vtt 2.3 KB
  220. 2. [Hands On] - Deploy Machine Learning Model As a Web Service.mp4 9.2 MB
  221. 2. [Hands On] - Deploy Machine Learning Model As a Web Service.srt 3.5 KB
  222. 2. [Hands On] - Deploy Machine Learning Model As a Web Service.vtt 3.1 KB
  223. 3. [Hands On] - Use the Web Service - Example of Excel.mp4 16.6 MB
  224. 3. [Hands On] - Use the Web Service - Example of Excel.srt 6.8 KB
  225. 3. [Hands On] - Use the Web Service - Example of Excel.vtt 6.1 KB
  226. 4. AzureML Web Service.html 141 bytes
  227. 1. What is Linear Regression.mp4 14.0 MB
  228. 1. What is Linear Regression.srt 5.8 KB
  229. 1. What is Linear Regression.vtt 5.3 KB
  230. 10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.mp4 17.3 MB
  231. 10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.srt 6.3 KB
  232. 10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.vtt 5.7 KB
  233. 11. Regression Analysis.html 141 bytes
  234. 2. Regression Analysis - Common Metrics.mp4 12.6 MB
  235. 2. Regression Analysis - Common Metrics.srt 6.1 KB
  236. 2. Regression Analysis - Common Metrics.vtt 5.6 KB
  237. 3. [Hands On] - Linear Regression model using OLS.mp4 91.0 MB
  238. 3. [Hands On] - Linear Regression model using OLS.srt 11.3 KB
  239. 3. [Hands On] - Linear Regression model using OLS.vtt 9.7 KB
  240. 4. [Hands On] - Linear Regression - R Squared.mp4 10.3 MB
  241. 4. [Hands On] - Linear Regression - R Squared.srt 4.2 KB
  242. 4. [Hands On] - Linear Regression - R Squared.vtt 3.8 KB
  243. 5. Gradient Descent.mp4 27.7 MB
  244. 5. Gradient Descent.srt 10.0 KB
  245. 5. Gradient Descent.vtt 9.1 KB
  246. 6. Linear Regression Online Gradient Descent.mp4 6.7 MB
  247. 6. Linear Regression Online Gradient Descent.srt 2.2 KB
  248. 6. Linear Regression Online Gradient Descent.vtt 2.0 KB
  249. 7. [Hands On] - Experiment Online Gradient.mp4 10.9 MB
  250. 7. [Hands On] - Experiment Online Gradient.srt 4.4 KB
  251. 7. [Hands On] - Experiment Online Gradient.vtt 3.9 KB
  252. 8. Decision Tree - What is Regression Tree.mp4 12.2 MB
  253. 8. Decision Tree - What is Regression Tree.srt 6.1 KB
  254. 8. Decision Tree - What is Regression Tree.vtt 5.5 KB
  255. 9. Decision Tree - What is Boosted Decision Tree Regression.mp4 4.3 MB
  256. 9. Decision Tree - What is Boosted Decision Tree Regression.srt 2.0 KB
  257. 9. Decision Tree - What is Boosted Decision Tree Regression.vtt 1.8 KB
  258. 1. What is Cluster Analysis.mp4 22.4 MB
  259. 1. What is Cluster Analysis.srt 10.8 KB
  260. 1. What is Cluster Analysis.vtt 9.8 KB
  261. 2. [Hands On] - Cluster Analysis Experiment 1.mp4 30.9 MB
  262. 2. [Hands On] - Cluster Analysis Experiment 1.srt 13.2 KB
  263. 2. [Hands On] - Cluster Analysis Experiment 1.vtt 11.9 KB
  264. 2.1 Callcenter Data.csv.csv 831 bytes
  265. 3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.mp4 18.4 MB
  266. 3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.srt 7.3 KB
  267. 3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.vtt 6.6 KB
  268. 4. Clustering or Cluster Analysis.html 141 bytes
  269. 1. Section Introduction.mp4 5.4 MB
  270. 1. Section Introduction.srt 3.1 KB
  271. 1. Section Introduction.vtt 2.8 KB
  272. 10. Data Normalization - Scale and Reduce.mp4 5.3 MB
  273. 10. Data Normalization - Scale and Reduce.srt 2.9 KB
  274. 10. Data Normalization - Scale and Reduce.vtt 2.7 KB
  275. 11. [Hands On] - Data Normalization.mp4 5.9 MB
  276. 11. [Hands On] - Data Normalization.srt 2.4 KB
  277. 11. [Hands On] - Data Normalization.vtt 2.2 KB
  278. 12. PCA - What is PCA and Curse of Dimensionality.mp4 10.7 MB
  279. 12. PCA - What is PCA and Curse of Dimensionality.srt 6.2 KB
  280. 12. PCA - What is PCA and Curse of Dimensionality.vtt 5.5 KB
  281. 13. [Hands On] - Principal Component Analysis.mp4 7.4 MB
  282. 13. [Hands On] - Principal Component Analysis.srt 3.6 KB
  283. 13. [Hands On] - Principal Component Analysis.vtt 3.2 KB
  284. 14. Join Data - Join Multiple Datasets based on common keys.mp4 10.5 MB
  285. 14. Join Data - Join Multiple Datasets based on common keys.srt 6.0 KB
  286. 14. Join Data - Join Multiple Datasets based on common keys.vtt 5.5 KB
  287. 15. [Hands On] - Join Data - Experiment.mp4 15.1 MB
  288. 15. [Hands On] - Join Data - Experiment.srt 2.8 KB
  289. 15. [Hands On] - Join Data - Experiment.vtt 2.4 KB
  290. 15.1 EmpSalaryJC.csv.csv 110 bytes
  291. 15.2 EmpDeptJC.csv.csv 108 bytes
  292. 2. How to Summarize Data.mp4 11.7 MB
  293. 2. How to Summarize Data.srt 6.2 KB
  294. 2. How to Summarize Data.vtt 5.6 KB
  295. 3. [Hands On] - Summarize Data - Experiment.mp4 8.1 MB
  296. 3. [Hands On] - Summarize Data - Experiment.srt 3.1 KB
  297. 3. [Hands On] - Summarize Data - Experiment.vtt 2.8 KB
  298. 4. Outliers Treatment - Clip Values.mp4 11.5 MB
  299. 4. Outliers Treatment - Clip Values.srt 6.4 KB
  300. 4. Outliers Treatment - Clip Values.vtt 5.8 KB
  301. 5. [Hands On] - Outliers Treatment - Clip Values.mp4 17.7 MB
  302. 5. [Hands On] - Outliers Treatment - Clip Values.srt 7.2 KB
  303. 5. [Hands On] - Outliers Treatment - Clip Values.vtt 6.5 KB
  304. 6. Clean Missing Data with MICE.mp4 13.1 MB
  305. 6. Clean Missing Data with MICE.srt 6.8 KB
  306. 6. Clean Missing Data with MICE.vtt 6.1 KB
  307. 7. [Hands On] - Clean Missing Data with MICE.mp4 15.9 MB
  308. 7. [Hands On] - Clean Missing Data with MICE.srt 6.8 KB
  309. 7. [Hands On] - Clean Missing Data with MICE.vtt 6.1 KB
  310. 7.1 MICE Loan Dataset.csv.csv 37.1 KB
  311. 8. SMOTE - Create New Synthetic Observations.mp4 14.2 MB
  312. 8. SMOTE - Create New Synthetic Observations.srt 8.0 KB
  313. 8. SMOTE - Create New Synthetic Observations.vtt 7.3 KB
  314. 9. [Hands On] - SMOTE.mp4 15.5 MB
  315. 9. [Hands On] - SMOTE.srt 5.5 KB
  316. 9. [Hands On] - SMOTE.vtt 5.0 KB
  317. 9.1 LoanSMOTE.csv.csv 6.2 KB

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