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[ ] Udemy - BigQuery ML - Machine Learning in Google Cloud with BigQuery

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文件列表

  1. ~Get Your Files Here !/10. Boosted Trees/8. Boosted Tree Example - Feature Engineering Part 2.mp4 106MB
  2. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/10. ARIMA+ Example - Evaluation.mp4 73MB
  3. ~Get Your Files Here !/8. Feature Pre-processing/2. Manual Feature Pre-processing - Part 1.mp4 69MB
  4. ~Get Your Files Here !/9. K-means Clustering/6. K-means Example in BigQuery - Create model.mp4 69MB
  5. ~Get Your Files Here !/4. Linear Regression/14. Model Training - Write Create model Query for Linear regression.mp4 67MB
  6. ~Get Your Files Here !/10. Boosted Trees/9. Boosted Tree Example - Create model.mp4 67MB
  7. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/9. ARIMA+ Example - Create Model.mp4 64MB
  8. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/X_train.txt 63MB
  9. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/6. BQML supported models.mp4 61MB
  10. ~Get Your Files Here !/4. Linear Regression/17. Model Training - Optimize Create Model Query.mp4 58MB
  11. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/11. ARIMA+ Example - Inferencing Functions.mp4 58MB
  12. ~Get Your Files Here !/9. K-means Clustering/9. K-means Example in BigQuery - Anomaly detection.mp4 57MB
  13. ~Get Your Files Here !/9. K-means Clustering/7. K-means Example in BigQuery - Evaluation.mp4 56MB
  14. ~Get Your Files Here !/10. Boosted Trees/6. Boosted Tree Example - Use Case Intro & EDA.mp4 54MB
  15. ~Get Your Files Here !/3. BigQuery Basics - Crash course/7. Create a Table.mp4 53MB
  16. ~Get Your Files Here !/4. Linear Regression/16. Model Evaluation Query (ML.EVALUATE).mp4 52MB
  17. ~Get Your Files Here !/6. Model Explainability Functions/2. Model Explainability Functions in BigQuery.mp4 51MB
  18. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/8. ARIMA+ Example - Use case & EDA.mp4 51MB
  19. ~Get Your Files Here !/10. Boosted Trees/10. Boosted Tree Example - Hyperparameter Tuning.mp4 50MB
  20. ~Get Your Files Here !/4. Linear Regression/19. Model Prediction (ML.PREDICT).mp4 49MB
  21. ~Get Your Files Here !/12. Deep Neural Network (DNN)/11. DNN Example Use Case.mp4 48MB
  22. ~Get Your Files Here !/8. Feature Pre-processing/1. Automatic Feature Pre-processing.mp4 46MB
  23. ~Get Your Files Here !/5. Hyperparameter Tuning in BigQuery/3. Tune the Linear regression model.mp4 45MB
  24. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/12. ARIMA+ Example - Model Explainability.mp4 45MB
  25. ~Get Your Files Here !/4. Linear Regression/3. High-level view of Create Model query.mp4 44MB
  26. ~Get Your Files Here !/12. Deep Neural Network (DNN)/12. DNN Example Implementation in BigQuery ML.mp4 43MB
  27. ~Get Your Files Here !/9. K-means Clustering/8. K-means Example in BigQuery - Prediction.mp4 41MB
  28. ~Get Your Files Here !/7. Logistic regression/3. Logistic regression Example Use case.mp4 40MB
  29. ~Get Your Files Here !/5. Hyperparameter Tuning in BigQuery/2. Hyperparameter Tuning Options in BigQuery.mp4 40MB
  30. ~Get Your Files Here !/7. Logistic regression/7. Evaluation Functions in BigQuery.mp4 39MB
  31. ~Get Your Files Here !/10. Boosted Trees/5. Options in Create model query - Part 2.mp4 39MB
  32. ~Get Your Files Here !/4. Linear Regression/5. Linear regression Example Use case.mp4 39MB
  33. ~Get Your Files Here !/10. Boosted Trees/11. Boosted Tree Example - Evaluation.mp4 39MB
  34. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/2. Conventional ML challenges and How Big query is addressing them.mp4 37MB
  35. ~Get Your Files Here !/7. Logistic regression/8. Prediction Function (ML.PREDICT).mp4 35MB
  36. ~Get Your Files Here !/4. Linear Regression/13. Other Options in Create model query.mp4 34MB
  37. ~Get Your Files Here !/4. Linear Regression/6. Basic Options in Create model query.mp4 33MB
  38. ~Get Your Files Here !/1. Introduction to GCP/3. AI & ML services in Google Cloud.mp4 33MB
  39. ~Get Your Files Here !/12. Deep Neural Network (DNN)/2. Working of Artificial Neural Network.mp4 31MB
  40. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/6. ARIMA+ Options - Part 1.mp4 31MB
  41. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/5. Moving Average (MA) in ARIMA.mp4 31MB
  42. ~Get Your Files Here !/3. BigQuery Basics - Crash course/4. Create a Project.mp4 31MB
  43. ~Get Your Files Here !/7. Logistic regression/5. Evaluation metrics Fundamentals explained.mp4 31MB
  44. ~Get Your Files Here !/13. BigQuery ML Pricing/5. BigQuery ML On-demand pricing model.mp4 31MB
  45. ~Get Your Files Here !/12. Deep Neural Network (DNN)/4. Activation Functions - Sigmoid, TanH.mp4 30MB
  46. ~Get Your Files Here !/4. Linear Regression/1. What is Linear regression - Part 1.mp4 30MB
  47. ~Get Your Files Here !/7. Logistic regression/6. Precision, Recall, Accuracy, F1 score.mp4 30MB
  48. ~Get Your Files Here !/3. BigQuery Basics - Crash course/5. BigQuery UI Tour.mp4 30MB
  49. ~Get Your Files Here !/13. BigQuery ML Pricing/6. Calculate price for Create Model query.mp4 29MB
  50. ~Get Your Files Here !/11. Model management Operations in BigQuery/3. Operations on Models - Part 2.mp4 29MB
  51. ~Get Your Files Here !/9. K-means Clustering/5. Options in Create model query.mp4 29MB
  52. ~Get Your Files Here !/10. Boosted Trees/4. Options in Create model query - Part 1.mp4 28MB
  53. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/3. BigQuery ML Features.mp4 28MB
  54. ~Get Your Files Here !/13. BigQuery ML Pricing/3. Costs involved in Flat rate pricing model.mp4 28MB
  55. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/4. Auto regression (AR) in ARIMA.mp4 28MB
  56. ~Get Your Files Here !/3. BigQuery Basics - Crash course/6. Create a Dataset.mp4 28MB
  57. ~Get Your Files Here !/4. Linear Regression/15. Exploring Model details.mp4 27MB
  58. ~Get Your Files Here !/12. Deep Neural Network (DNN)/3. DNN working explained.mp4 27MB
  59. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/X_test.txt 25MB
  60. ~Get Your Files Here !/12. Deep Neural Network (DNN)/8. HIDDEN_UNITS Option.mp4 25MB
  61. ~Get Your Files Here !/7. Logistic regression/4. Model Training - Write Create model Query for Logistic regression.mp4 24MB
  62. ~Get Your Files Here !/10. Boosted Trees/1. What is Boosting and Why it is needed.mp4 24MB
  63. ~Get Your Files Here !/13. BigQuery ML Pricing/4. Reservations.mp4 24MB
  64. ~Get Your Files Here !/4. Linear Regression/2. What is Linear regression - Part 2.mp4 23MB
  65. ~Get Your Files Here !/10. Boosted Trees/7. Boosted Tree Example - Feature Engineering Part 1.mp4 23MB
  66. ~Get Your Files Here !/12. Deep Neural Network (DNN)/9. Optimizer in DNN.mp4 23MB
  67. ~Get Your Files Here !/8. Feature Pre-processing/3. Manual Feature Pre-processing - Part 2.mp4 23MB
  68. ~Get Your Files Here !/12. Deep Neural Network (DNN)/7. Dropout technique to avoid Overfitting.mp4 23MB
  69. ~Get Your Files Here !/12. Deep Neural Network (DNN)/1. What is Artificial Neural Network.mp4 22MB
  70. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/5. LifecycleWorkflow of a BigQuery ML Project.mp4 21MB
  71. ~Get Your Files Here !/10. Boosted Trees/3. Types of Boosting.mp4 21MB
  72. ~Get Your Files Here !/1. Introduction to GCP/2. GCP vs AWS vs Azure - Why choose GCP.mp4 20MB
  73. ~Get Your Files Here !/4. Linear Regression/10. Gradient Descent Optimize Strategy.mp4 20MB
  74. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/7. ARIMA+ Options - Part 2.mp4 20MB
  75. ~Get Your Files Here !/13. BigQuery ML Pricing/2. What is Flat rate pricing model.mp4 20MB
  76. ~Get Your Files Here !/12. Deep Neural Network (DNN)/5. Activation Functions - RELU.mp4 20MB
  77. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/4. Advantages of BigQuery ML.mp4 20MB
  78. ~Get Your Files Here !/16. BONUS/1. Bonus.mp4 19MB
  79. ~Get Your Files Here !/7. Logistic regression/1. What is Logistic regression .mp4 19MB
  80. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/1. What is BigQuery ML.mp4 19MB
  81. ~Get Your Files Here !/9. K-means Clustering/1. What is Clustering.mp4 19MB
  82. ~Get Your Files Here !/11. Model management Operations in BigQuery/2. Operations on Models - Part 1.mp4 18MB
  83. ~Get Your Files Here !/4. Linear Regression/8. L2Ridge regularization.mp4 18MB
  84. ~Get Your Files Here !/6. Model Explainability Functions/3. ML.WEIGHTS Function.mp4 18MB
  85. ~Get Your Files Here !/4. Linear Regression/12. Learn rate Option.mp4 18MB
  86. ~Get Your Files Here !/4. Linear Regression/4. Limitations of Create model query.mp4 16MB
  87. ~Get Your Files Here !/9. K-means Clustering/4. Applications of K-means algorithm.mp4 16MB
  88. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/1. What is Time series Forecasting .mp4 15MB
  89. ~Get Your Files Here !/7. Logistic regression/2. Sigmoid Function.mp4 15MB
  90. ~Get Your Files Here !/7. Logistic regression/Logistic regression/weatherAUS.csv 15MB
  91. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/2. Components of Time series.mp4 15MB
  92. ~Get Your Files Here !/9. K-means Clustering/2. K-means algorithm working.mp4 15MB
  93. ~Get Your Files Here !/12. Deep Neural Network (DNN)/6. Which Activation Function to choose.mp4 15MB
  94. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/body_acc_x_train.txt 14MB
  95. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/body_acc_y_train.txt 14MB
  96. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/body_acc_z_train.txt 14MB
  97. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/body_gyro_x_train.txt 14MB
  98. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/body_gyro_y_train.txt 14MB
  99. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/body_gyro_z_train.txt 14MB
  100. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/total_acc_x_train.txt 14MB
  101. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/total_acc_y_train.txt 14MB
  102. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/Inertial Signals/total_acc_z_train.txt 14MB
  103. ~Get Your Files Here !/4. Linear Regression/9. L1Lasso regularization.mp4 14MB
  104. ~Get Your Files Here !/4. Linear Regression/11. Types of Gradient Descent.mp4 14MB
  105. ~Get Your Files Here !/10. Boosted Trees/2. Boosted Tree working explained.mp4 13MB
  106. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/3. Stationarity in Time series.mp4 12MB
  107. ~Get Your Files Here !/9. K-means Clustering/3. Advantages & Disadvantages of K-means.mp4 12MB
  108. ~Get Your Files Here !/15. Additional Learnings/1. Google Cloud SDK setup.mp4 11MB
  109. ~Get Your Files Here !/7. Logistic regression/9. Applications of Logistic regression.mp4 11MB
  110. ~Get Your Files Here !/11. Model management Operations in BigQuery/1. Introduction.mp4 11MB
  111. ~Get Your Files Here !/6. Model Explainability Functions/1. Why Model Explainability is important .mp4 11MB
  112. ~Get Your Files Here !/4. Linear Regression/7. Overfitting problem.mp4 11MB
  113. ~Get Your Files Here !/1. Introduction to GCP/1. Introduction to Google Cloud Platform.mp4 9MB
  114. ~Get Your Files Here !/13. BigQuery ML Pricing/1. Free operations in BigQuery ML.mp4 8MB
  115. ~Get Your Files Here !/5. Hyperparameter Tuning in BigQuery/1. What is Hyperparameter Tuning .mp4 8MB
  116. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/body_acc_x_test.txt 6MB
  117. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/body_acc_y_test.txt 6MB
  118. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/body_acc_z_test.txt 6MB
  119. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/body_gyro_x_test.txt 6MB
  120. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/body_gyro_y_test.txt 6MB
  121. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/body_gyro_z_test.txt 6MB
  122. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/total_acc_x_test.txt 6MB
  123. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/total_acc_y_test.txt 6MB
  124. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/Inertial Signals/total_acc_z_test.txt 6MB
  125. ~Get Your Files Here !/3. BigQuery Basics - Crash course/1. Announcement.mp4 4MB
  126. ~Get Your Files Here !/10. Boosted Trees/Boosted tree/house_sales.csv 2MB
  127. ~Get Your Files Here !/4. Linear Regression/Linear regression/USA_Housing_train.csv 584KB
  128. ~Get Your Files Here !/6. Model Explainability Functions/Linear regression/USA_Housing_train.csv 584KB
  129. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/ARIMA+/Istanbul Weather Data.csv 290KB
  130. ~Get Your Files Here !/1. Introduction to GCP/1. Introduction to Google Cloud Platform.mp4.jpg 160KB
  131. ~Get Your Files Here !/4. Linear Regression/Linear regression/usa_housing_eval_final.csv 65KB
  132. ~Get Your Files Here !/6. Model Explainability Functions/Linear regression/usa_housing_eval_final.csv 65KB
  133. ~Get Your Files Here !/4. Linear Regression/Linear regression/usa_housing_predict.csv 46KB
  134. ~Get Your Files Here !/6. Model Explainability Functions/Linear regression/usa_housing_predict.csv 46KB
  135. ~Get Your Files Here !/4. Linear Regression/Linear regression/usa_housing_evaluate.csv 39KB
  136. ~Get Your Files Here !/6. Model Explainability Functions/Linear regression/usa_housing_evaluate.csv 39KB
  137. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/subject_train.txt 20KB
  138. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/features.txt 15KB
  139. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/train/y_train.txt 14KB
  140. ~Get Your Files Here !/1. Introduction to GCP/3. AI & ML services in Google Cloud.srt 14KB
  141. ~Get Your Files Here !/8. Feature Pre-processing/1. Automatic Feature Pre-processing.srt 14KB
  142. ~Get Your Files Here !/5. Hyperparameter Tuning in BigQuery/2. Hyperparameter Tuning Options in BigQuery.srt 12KB
  143. ~Get Your Files Here !/4. Linear Regression/14. Model Training - Write Create model Query for Linear regression.srt 12KB
  144. ~Get Your Files Here !/12. Deep Neural Network (DNN)/2. Working of Artificial Neural Network.srt 12KB
  145. ~Get Your Files Here !/10. Boosted Trees/5. Options in Create model query - Part 2.srt 12KB
  146. ~Get Your Files Here !/8. Feature Pre-processing/2. Manual Feature Pre-processing - Part 1.srt 12KB
  147. ~Get Your Files Here !/10. Boosted Trees/4. Options in Create model query - Part 1.srt 12KB
  148. ~Get Your Files Here !/4. Linear Regression/13. Other Options in Create model query.srt 12KB
  149. ~Get Your Files Here !/12. Deep Neural Network (DNN)/4. Activation Functions - Sigmoid, TanH.srt 12KB
  150. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/2. Conventional ML challenges and How Big query is addressing them.srt 11KB
  151. ~Get Your Files Here !/3. BigQuery Basics - Crash course/7. Create a Table.srt 11KB
  152. ~Get Your Files Here !/7. Logistic regression/6. Precision, Recall, Accuracy, F1 score.srt 11KB
  153. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/10. ARIMA+ Example - Evaluation.srt 11KB
  154. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/4. Auto regression (AR) in ARIMA.srt 11KB
  155. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/5. Moving Average (MA) in ARIMA.srt 10KB
  156. ~Get Your Files Here !/4. Linear Regression/3. High-level view of Create Model query.srt 10KB
  157. ~Get Your Files Here !/4. Linear Regression/10. Gradient Descent Optimize Strategy.srt 10KB
  158. ~Get Your Files Here !/7. Logistic regression/5. Evaluation metrics Fundamentals explained.srt 10KB
  159. ~Get Your Files Here !/10. Boosted Trees/8. Boosted Tree Example - Feature Engineering Part 2.srt 10KB
  160. ~Get Your Files Here !/9. K-means Clustering/5. Options in Create model query.srt 10KB
  161. ~Get Your Files Here !/12. Deep Neural Network (DNN)/3. DNN working explained.srt 10KB
  162. ~Get Your Files Here !/4. Linear Regression/16. Model Evaluation Query (ML.EVALUATE).srt 10KB
  163. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/3. BigQuery ML Features.srt 9KB
  164. ~Get Your Files Here !/4. Linear Regression/6. Basic Options in Create model query.srt 9KB
  165. ~Get Your Files Here !/1. Introduction to GCP/2. GCP vs AWS vs Azure - Why choose GCP.srt 9KB
  166. ~Get Your Files Here !/10. Boosted Trees/1. What is Boosting and Why it is needed.srt 9KB
  167. ~Get Your Files Here !/9. K-means Clustering/6. K-means Example in BigQuery - Create model.srt 9KB
  168. ~Get Your Files Here !/10. Boosted Trees/9. Boosted Tree Example - Create model.srt 9KB
  169. ~Get Your Files Here !/13. BigQuery ML Pricing/3. Costs involved in Flat rate pricing model.srt 9KB
  170. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/6. ARIMA+ Options - Part 1.srt 9KB
  171. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/9. ARIMA+ Example - Create Model.srt 9KB
  172. ~Get Your Files Here !/13. BigQuery ML Pricing/4. Reservations.srt 9KB
  173. ~Get Your Files Here !/11. Model management Operations in BigQuery/3. Operations on Models - Part 2.srt 9KB
  174. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/6. BQML supported models.srt 9KB
  175. ~Get Your Files Here !/4. Linear Regression/1. What is Linear regression - Part 1.srt 8KB
  176. ~Get Your Files Here !/12. Deep Neural Network (DNN)/1. What is Artificial Neural Network.srt 8KB
  177. ~Get Your Files Here !/4. Linear Regression/8. L2Ridge regularization.srt 8KB
  178. ~Get Your Files Here !/12. Deep Neural Network (DNN)/5. Activation Functions - RELU.srt 8KB
  179. ~Get Your Files Here !/10. Boosted Trees/3. Types of Boosting.srt 8KB
  180. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/subject_test.txt 8KB
  181. ~Get Your Files Here !/12. Deep Neural Network (DNN)/8. HIDDEN_UNITS Option.srt 8KB
  182. ~Get Your Files Here !/4. Linear Regression/19. Model Prediction (ML.PREDICT).srt 8KB
  183. ~Get Your Files Here !/12. Deep Neural Network (DNN)/12. DNN Example Implementation in BigQuery ML.srt 8KB
  184. ~Get Your Files Here !/4. Linear Regression/17. Model Training - Optimize Create Model Query.srt 7KB
  185. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/5. LifecycleWorkflow of a BigQuery ML Project.srt 7KB
  186. ~Get Your Files Here !/6. Model Explainability Functions/2. Model Explainability Functions in BigQuery.srt 7KB
  187. ~Get Your Files Here !/12. Deep Neural Network (DNN)/11. DNN Example Use Case.srt 7KB
  188. ~Get Your Files Here !/12. Deep Neural Network (DNN)/7. Dropout technique to avoid Overfitting.srt 7KB
  189. ~Get Your Files Here !/4. Linear Regression/5. Linear regression Example Use case.srt 7KB
  190. ~Get Your Files Here !/10. Boosted Trees/2. Boosted Tree working explained.srt 7KB
  191. ~Get Your Files Here !/5. Hyperparameter Tuning in BigQuery/3. Tune the Linear regression model.srt 7KB
  192. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/1. What is BigQuery ML.srt 7KB
  193. ~Get Your Files Here !/13. BigQuery ML Pricing/2. What is Flat rate pricing model.srt 7KB
  194. ~Get Your Files Here !/9. K-means Clustering/7. K-means Example in BigQuery - Evaluation.srt 7KB
  195. ~Get Your Files Here !/3. BigQuery Basics - Crash course/6. Create a Dataset.srt 7KB
  196. ~Get Your Files Here !/10. Boosted Trees/6. Boosted Tree Example - Use Case Intro & EDA.srt 7KB
  197. ~Get Your Files Here !/10. Boosted Trees/10. Boosted Tree Example - Hyperparameter Tuning.srt 7KB
  198. ~Get Your Files Here !/9. K-means Clustering/9. K-means Example in BigQuery - Anomaly detection.srt 7KB
  199. ~Get Your Files Here !/12. Deep Neural Network (DNN)/9. Optimizer in DNN.srt 6KB
  200. ~Get Your Files Here !/4. Linear Regression/12. Learn rate Option.srt 6KB
  201. ~Get Your Files Here !/3. BigQuery Basics - Crash course/4. Create a Project.srt 6KB
  202. ~Get Your Files Here !/9. K-means Clustering/2. K-means algorithm working.srt 6KB
  203. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/README.txt 6KB
  204. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/8. ARIMA+ Example - Use case & EDA.srt 6KB
  205. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/DS_Store 6KB
  206. ~Get Your Files Here !/13. BigQuery ML Pricing/5. BigQuery ML On-demand pricing model.srt 6KB
  207. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/4. Advantages of BigQuery ML.srt 6KB
  208. ~Get Your Files Here !/6. Model Explainability Functions/1. Why Model Explainability is important .srt 6KB
  209. ~Get Your Files Here !/9. K-means Clustering/1. What is Clustering.srt 6KB
  210. ~Get Your Files Here !/4. Linear Regression/2. What is Linear regression - Part 2.srt 6KB
  211. ~Get Your Files Here !/12. Deep Neural Network (DNN)/UCI HAR Dataset/test/y_test.txt 6KB
  212. ~Get Your Files Here !/4. Linear Regression/7. Overfitting problem.srt 6KB
  213. ~Get Your Files Here !/7. Logistic regression/2. Sigmoid Function.srt 6KB
  214. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/1. What is Time series Forecasting .srt 6KB
  215. ~Get Your Files Here !/3. BigQuery Basics - Crash course/5. BigQuery UI Tour.srt 6KB
  216. ~Get Your Files Here !/11. Model management Operations in BigQuery/2. Operations on Models - Part 1.srt 6KB
  217. ~Get Your Files Here !/7. Logistic regression/3. Logistic regression Example Use case.srt 5KB
  218. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/7. ARIMA+ Options - Part 2.srt 5KB
  219. ~Get Your Files Here !/9. K-means Clustering/3. Advantages & Disadvantages of K-means.srt 5KB
  220. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/3. Stationarity in Time series.srt 5KB
  221. ~Get Your Files Here !/4. Linear Regression/9. L1Lasso regularization.srt 5KB
  222. ~Get Your Files Here !/12. Deep Neural Network (DNN)/6. Which Activation Function to choose.srt 5KB
  223. ~Get Your Files Here !/14. ARIMA+ for Time series Forecasting/2. Components of Time series.srt 5KB
  224. ~Get Your Files Here !/7. Logistic regression/7. Evaluation Functions in BigQuery.srt 5KB
  225. ~Get Your Files Here !/7. Logistic regression/1. What is Logistic regression .srt 5KB
  226. ~Get Your Files Here !/10. Boosted Trees/11. Boosted Tree Example - Evaluation.srt 5KB
  227. ~Get Your Files Here !/4. Linear Regression/15. Exploring Model details.srt 5KB
  228. ~Get Your Files Here !/9. K-means Clustering/8. K-means Example in BigQuery - Prediction.srt 5KB
  229. ~Get Your Files Here !/13. BigQuery ML Pricing/6. Calculate price for Create Model query.srt 4KB
  230. ~Get Your Files Here !/4. Linear Regression/11. Types of Gradient Descent.srt 4KB
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  325. ~Get Your Files Here !/2. BigQuery ML (BQML) introduction/6.1 Supported models in BigQuery ML.html 135B
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  327. ~Get Your Files Here !/12. Deep Neural Network (DNN)/__MACOSX/UCI HAR Dataset/_.DS_Store 120B
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  330. ~Get Your Files Here !/15. Additional Learnings/1.1 Google cloud SDK.html 102B
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