589689.xyz

[] ZeroToMastery - Python for Business Data Analytics & Intelligence

  • 收录时间:2022-12-09 12:31:28
  • 文件大小:5GB
  • 下载次数:1
  • 最近下载:2022-12-09 12:31:28
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 13 Section 10 - Gaussian Mixture/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 216MB
  2. 1 Section 1 - Introduction/Python for Business Analytics & Intelligence/Python for Business Analytics & Intelligence.mp4 170MB
  3. 10 Section 8 - Matching/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 112MB
  4. 13 Section 10 - Gaussian Mixture/Python - Interpretation/Python - Interpretation.mp4 104MB
  5. 10 Section 8 - Matching/Python - Logistic Regression and Debugging/Python - Logistic Regression and Debugging.mp4 93MB
  6. 16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 2) [TutFlix.ORG]/CHALLENGE - Solutions (Part 2).mp4 93MB
  7. 17 Where To Go From Here/Thank You!/Thank You!.mp4 89MB
  8. 10 Section 8 - Matching/Python - Race Variable Transformation/Python - Race Variable Transformation.mp4 86MB
  9. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 67MB
  10. 7 Section 6 - Logistic Regression/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 66MB
  11. 6 Section 5 - Multilinear Regression/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 65MB
  12. 16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 3) [TutFlix.ORG]/CHALLENGE - Solutions (Part 3).mp4 64MB
  13. 10 Section 8 - Matching/Python - Robustness Check - Repeated experiments/Python - Robustness Check - Repeated experiments.mp4 57MB
  14. 4 Section 3 - Intermediary Statistics/Python - T-test/Python - T-test.mp4 57MB
  15. 16 Section 12 - Facebook Prophet/CHALLENGE - Solutions (Part 1) [TutFlix.ORG]/CHALLENGE - Solutions (Part 1).mp4 57MB
  16. 15 Section 11 - Random Forest/CHALLENGE - Solutions (Part 1)/CHALLENGE - Solutions (Part 1).mp4 54MB
  17. 15 Section 11 - Random Forest/CHALLENGE - Solutions (Part 2)/CHALLENGE - Solutions (Part 2).mp4 49MB
  18. 16 Section 12 - Facebook Prophet/Python - Cross-validation [TutFlix.ORG]/Python - Cross-validation.mp4 49MB
  19. 16 Section 12 - Facebook Prophet/Python - Parameter Tuning [TutFlix.ORG]/Python - Parameter Tuning.mp4 47MB
  20. 4 Section 3 - Intermediary Statistics/Python - Chi-square test/Python - Chi-square test.mp4 47MB
  21. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Stationarity/Python - Stationarity.mp4 46MB
  22. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Preparing DataFrame/Python - Preparing DataFrame.mp4 46MB
  23. 7 Section 6 - Logistic Regression/Python - Histogram and Outlier Removal/Python - Histogram and Outlier Removal.mp4 44MB
  24. 10 Section 8 - Matching/Python - Education Variables/Python - Education Variables.mp4 44MB
  25. 15 Section 11 - Random Forest/Python - Parameter Tuning/Python - Parameter Tuning.mp4 44MB
  26. 10 Section 8 - Matching/Python - Matching/Python - Matching.mp4 44MB
  27. 4 Section 3 - Intermediary Statistics/Python - Shapiro-Wilks Test/Python - Shapiro-Wilks Test.mp4 42MB
  28. 4 Section 3 - Intermediary Statistics/Python - Confidence Interval/Python - Confidence Interval.mp4 40MB
  29. 3 Section 2 - Basic Statistics/Python - Directory, Libraries and Data/Python - Directory, Libraries and Data.mp4 40MB
  30. 3 Section 2 - Basic Statistics/Python - Mean/Python - Mean.mp4 39MB
  31. 10 Section 8 - Matching/Python - Chi-square Test/Python - Chi-square Test.mp4 39MB
  32. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CHALLENGE - Solutions/CHALLENGE - Solutions.mp4 38MB
  33. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Google Causal Impact/Python - Google Causal Impact.mp4 38MB
  34. 4 Section 3 - Intermediary Statistics/Python - Normal Distribution Visualization/Python - Normal Distribution Visualization.mp4 37MB
  35. 13 Section 10 - Gaussian Mixture/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 37MB
  36. 7 Section 6 - Logistic Regression/Python - Function to Read Coefficients/Python - Function to Read Coefficients.mp4 36MB
  37. 3 Section 2 - Basic Statistics/Python - Correlation/Python - Correlation.mp4 36MB
  38. 4 Section 3 - Intermediary Statistics/Confidence Interval/Confidence Interval.mp4 36MB
  39. 16 Section 12 - Facebook Prophet/Facebook Prophet Model [TutFlix.ORG]/Facebook Prophet Model.mp4 36MB
  40. 10 Section 8 - Matching/Python - Preparing for Common Support Region/Python - Preparing for Common Support Region.mp4 35MB
  41. 10 Section 8 - Matching/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 35MB
  42. 1 Section 1 - Introduction/Setting up the Course Material/Setting up the Course Material.mp4 35MB
  43. 5 Section 4 - Linear Regression/Linear Regression Output/Linear Regression Output.mp4 34MB
  44. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Impact Results/Python - Impact Results.mp4 34MB
  45. 15 Section 11 - Random Forest/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 34MB
  46. 16 Section 12 - Facebook Prophet/Python - Future Dataframe [TutFlix.ORG]/Python - Future Dataframe.mp4 32MB
  47. 10 Section 8 - Matching/Python - Loading Data/Python - Loading Data.mp4 31MB
  48. 16 Section 12 - Facebook Prophet/Python - Visualization [TutFlix.ORG]/Python - Visualization.mp4 31MB
  49. 10 Section 8 - Matching/Python - Robustness Check - Removing 1 confounder/Python - Robustness Check - Removing 1 confounder.mp4 29MB
  50. 13 Section 10 - Gaussian Mixture/Python - Optimal Number of Clusters/Python - Optimal Number of Clusters.mp4 29MB
  51. 10 Section 8 - Matching/Python - Cleaning and Preparing Dataset/Python - Cleaning and Preparing Dataset.mp4 29MB
  52. 15 Section 11 - Random Forest/Python - Training and Test Set/Python - Training and Test Set.mp4 27MB
  53. 7 Section 6 - Logistic Regression/Python - Confusion Matrix/Python - Confusion Matrix.mp4 27MB
  54. 4 Section 3 - Intermediary Statistics/EXERCISE - Python - Normal Distribution/EXERCISE - Python - Normal Distribution.mp4 27MB
  55. 6 Section 5 - Multilinear Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4 27MB
  56. 10 Section 8 - Matching/Python - T-Test/Python - T-Test.mp4 26MB
  57. 7 Section 6 - Logistic Regression/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 26MB
  58. 4 Section 3 - Intermediary Statistics/Python - Standard Error/Python - Standard Error.mp4 26MB
  59. 7 Section 6 - Logistic Regression/Python - Summary Statistics/Python - Summary Statistics.mp4 26MB
  60. 5 Section 4 - Linear Regression/EXERCISE - Python - Linear Regression/EXERCISE - Python - Linear Regression.mp4 25MB
  61. 7 Section 6 - Logistic Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4 25MB
  62. 1 Section 1 - Introduction/Introduction/Introduction.mp4 25MB
  63. 15 Section 11 - Random Forest/Python - Classification Report and F1 score/Python - Classification Report and F1 score.mp4 25MB
  64. 10 Section 8 - Matching/Python - T-Test Loop/Python - T-Test Loop.mp4 24MB
  65. 10 Section 8 - Matching/Python - Other Variables/Python - Other Variables.mp4 24MB
  66. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 24MB
  67. 7 Section 6 - Logistic Regression/Python - Training and Test Set/Python - Training and Test Set.mp4 24MB
  68. 10 Section 8 - Matching/Python - Chi-square Loop/Python - Chi-square Loop.mp4 23MB
  69. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Quartiles/Python - Quartiles.mp4 23MB
  70. 16 Section 12 - Facebook Prophet/Python - Easter Holidays [TutFlix.ORG]/Python - Easter Holidays.mp4 23MB
  71. 4 Section 3 - Intermediary Statistics/EXERCISE - Python - T-test/EXERCISE - Python - T-test.mp4 23MB
  72. 7 Section 6 - Logistic Regression/Python - Manual Accuracy Assessment/Python - Manual Accuracy Assessment.mp4 23MB
  73. 16 Section 12 - Facebook Prophet/Python - Parameter Grid [TutFlix.ORG]/Python - Parameter Grid.mp4 23MB
  74. 5 Section 4 - Linear Regression/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4 22MB
  75. 6 Section 5 - Multilinear Regression/Python - Plotting Continuous Variables/Python - Plotting Continuous Variables.mp4 22MB
  76. 6 Section 5 - Multilinear Regression/Python - Accuracy Assessment/Python - Accuracy Assessment.mp4 22MB
  77. 5 Section 4 - Linear Regression/Python - Plotting Regression/Python - Plotting Regression.mp4 22MB
  78. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Customer Level Aggregation/Python - Customer Level Aggregation.mp4 22MB
  79. 6 Section 5 - Multilinear Regression/Python - Multilinear Regression/Python - Multilinear Regression.mp4 21MB
  80. 16 Section 12 - Facebook Prophet/Python - Forecasting [TutFlix.ORG]/Python - Forecasting.mp4 21MB
  81. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Loading Data/Python - Loading Data.mp4 21MB
  82. 15 Section 11 - Random Forest/Python - Summary Statistics/Python - Summary Statistics.mp4 21MB
  83. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Load Control Groups/Python - Load Control Groups.mp4 21MB
  84. 13 Section 10 - Gaussian Mixture/Python - Load Data/Python - Load Data.mp4 20MB
  85. 4 Section 3 - Intermediary Statistics/Python - Preparing Script and Loading Data/Python - Preparing Script and Loading Data.mp4 20MB
  86. 10 Section 8 - Matching/Python - Comparing Means/Python - Comparing Means.mp4 20MB
  87. 16 Section 12 - Facebook Prophet/CHALLENGE - Introduction [TutFlix.ORG]/CHALLENGE - Introduction.mp4 20MB
  88. 16 Section 12 - Facebook Prophet/Python - Accuracy Assessment [TutFlix.ORG]/Python - Accuracy Assessment.mp4 20MB
  89. 15 Section 11 - Random Forest/Python - Feature Importance/Python - Feature Importance.mp4 20MB
  90. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Bitcoin Price loading/Python - Bitcoin Price loading.mp4 19MB
  91. 6 Section 5 - Multilinear Regression/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 19MB
  92. 3 Section 2 - Basic Statistics/Python - Standard Deviation/Python - Standard Deviation.mp4 19MB
  93. 15 Section 11 - Random Forest/Python - Loading Data/Python - Loading Data.mp4 18MB
  94. 6 Section 5 - Multilinear Regression/Python - Categorical Variables/Python - Categorical Variables.mp4 18MB
  95. 7 Section 6 - Logistic Regression/Python - Transforming Dependent Variable/Python - Transforming Dependent Variable.mp4 18MB
  96. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Correlation/Python - Correlation.mp4 18MB
  97. 6 Section 5 - Multilinear Regression/Python - For Loop/Python - For Loop.mp4 18MB
  98. 4 Section 3 - Intermediary Statistics/EXERCISE - Python - Chi-square/EXERCISE - Python - Chi-square.mp4 18MB
  99. 16 Section 12 - Facebook Prophet/Python - Transforming Date Variable [TutFlix.ORG]/Python - Transforming Date Variable.mp4 18MB
  100. 3 Section 2 - Basic Statistics/Python - Median/Python - Median.mp4 17MB
  101. 10 Section 8 - Matching/Python - Directory and Libraries/Python - Directory and Libraries.mp4 17MB
  102. 5 Section 4 - Linear Regression/Python - Linear Regression Model and Summary/Python - Linear Regression Model and Summary.mp4 17MB
  103. 3 Section 2 - Basic Statistics/Correlation/Correlation.mp4 16MB
  104. 7 Section 6 - Logistic Regression/Python - Classification Report/Python - Classification Report.mp4 16MB
  105. 15 Section 11 - Random Forest/Python - Parameter Grid/Python - Parameter Grid.mp4 16MB
  106. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Preparing for Correlation Matrix/Python - Preparing for Correlation Matrix.mp4 16MB
  107. 3 Section 2 - Basic Statistics/Python - Mode/Python - Mode.mp4 16MB
  108. 7 Section 6 - Logistic Regression/Python - Predictions/Python - Predictions.mp4 16MB
  109. 7 Section 6 - Logistic Regression/Confusion Matrix/Confusion Matrix.mp4 15MB
  110. 7 Section 6 - Logistic Regression/Python - Logistic Regression/Python - Logistic Regression.mp4 15MB
  111. 15 Section 11 - Random Forest/Python - Isolate X and Y/Python - Isolate X and Y.mp4 15MB
  112. 16 Section 12 - Facebook Prophet/Python - Combining Events and Preparing Dataframe [TutFlix.ORG]/Python - Combining Events and Preparing Dataframe.mp4 15MB
  113. 3 Section 2 - Basic Statistics/EXERCISE - Python - Correlation/EXERCISE - Python - Correlation.mp4 15MB
  114. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Results Summary/Python - Results Summary.mp4 15MB
  115. 13 Section 10 - Gaussian Mixture/Python - Directory and Data/Python - Directory and Data.mp4 15MB
  116. 5 Section 4 - Linear Regression/Python - Dummy Variable/Python - Dummy Variable.mp4 15MB
  117. 16 Section 12 - Facebook Prophet/Python - Black Friday [TutFlix.ORG]/Python - Black Friday.mp4 15MB
  118. 4 Section 3 - Intermediary Statistics/P-Value/P-Value.mp4 14MB
  119. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Creating Sales Variable/Python - Creating Sales Variable.mp4 14MB
  120. 6 Section 5 - Multilinear Regression/Python - Isolate X and Y/Python - Isolate X and Y.mp4 14MB
  121. 10 Section 8 - Matching/Common Support Region/Common Support Region.mp4 14MB
  122. 13 Section 10 - Gaussian Mixture/Python - Transform Character variables/Python - Transform Character variables.mp4 14MB
  123. 4 Section 3 - Intermediary Statistics/EXERCISE - Python - Confidence Interval/EXERCISE - Python - Confidence Interval.mp4 14MB
  124. 16 Section 12 - Facebook Prophet/Python - Directory and Libraries [TutFlix.ORG]/Python - Directory and Libraries.mp4 13MB
  125. 13 Section 10 - Gaussian Mixture/Python - Cluster Prediction and Assignment/Python - Cluster Prediction and Assignment.mp4 13MB
  126. 3 Section 2 - Basic Statistics/EXERCISE - Python - Median/EXERCISE - Python - Median.mp4 13MB
  127. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Tidying up Dataframe/Python - Tidying up Dataframe.mp4 12MB
  128. 6 Section 5 - Multilinear Regression/Python - Correlation Matrix/Python - Correlation Matrix.mp4 12MB
  129. 3 Section 2 - Basic Statistics/EXERCISE - Python - Mode/EXERCISE - Python - Mode.mp4 12MB
  130. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Installing and Importing Libraries/Python - Installing and Importing Libraries.mp4 12MB
  131. 7 Section 6 - Logistic Regression/Python - Correlation Matrix/Python - Correlation Matrix.mp4 12MB
  132. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Interpretation of Results/Interpretation of Results.mp4 12MB
  133. 15 Section 11 - Random Forest/Python - Random Forest Model/Python - Random Forest Model.mp4 12MB
  134. 3 Section 2 - Basic Statistics/EXERCISE - Python - Mean/EXERCISE - Python - Mean.mp4 12MB
  135. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Date Variable/Python - Date Variable.mp4 11MB
  136. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - RFM Function/Python - RFM Function.mp4 11MB
  137. 16 Section 12 - Facebook Prophet/Python - Loading Data [TutFlix.ORG]/Python - Loading Data.mp4 11MB
  138. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Why Econometrics and Causal Inference/Why Econometrics and Causal Inference.mp4 11MB
  139. 1 Section 1 - Introduction/The Modern Day Business Analyst/The Modern Day Business Analyst.mp4 11MB
  140. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CHALLENGE - Introduction/CHALLENGE - Introduction.mp4 11MB
  141. 16 Section 12 - Facebook Prophet/Python - Training and Test Set [TutFlix.ORG]/Python - Training and Test Set.mp4 11MB
  142. 5 Section 4 - Linear Regression/Python - Isolate X and Y/Python - Isolate X and Y.mp4 11MB
  143. 4 Section 3 - Intermediary Statistics/Powerposing and p-hacking/Powerposing and p-hacking.mp4 11MB
  144. 4 Section 3 - Intermediary Statistics/EXERCISE - Python - Standard Error/EXERCISE - Python - Standard Error.mp4 11MB
  145. 4 Section 3 - Intermediary Statistics/EXERCISE - Python - Shapiro-Wilks/EXERCISE - Python - Shapiro-Wilks.mp4 10MB
  146. 5 Section 4 - Linear Regression/Linear Regression/Linear Regression.mp4 10MB
  147. 15 Section 11 - Random Forest/Python - Transform Object into Numerical Variables/Python - Transform Object into Numerical Variables.mp4 10MB
  148. 15 Section 11 - Random Forest/Python - Directory and Libraries/Python - Directory and Libraries.mp4 10MB
  149. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Directory and Libraries/Python - Directory and Libraries.mp4 10MB
  150. 6 Section 5 - Multilinear Regression/Python - Summary Statistics/Python - Summary Statistics.mp4 10MB
  151. 6 Section 5 - Multilinear Regression/Python - Creating Dummy Variables/Python - Creating Dummy Variables.mp4 9MB
  152. 16 Section 12 - Facebook Prophet/Python - Renaming Variables [TutFlix.ORG]/Python - Renaming Variables.mp4 9MB
  153. 13 Section 10 - Gaussian Mixture/Python - Gaussian Mixture Model/Python - Gaussian Mixture Model.mp4 9MB
  154. 10 Section 8 - Matching/Python - Common Support Region Visualization/Python - Common Support Region Visualization.mp4 9MB
  155. 15 Section 11 - Random Forest/How Decision Trees Work/How Decision Trees Work.mp4 9MB
  156. 10 Section 8 - Matching/Python - Outcome Visualization/Python - Outcome Visualization.mp4 9MB
  157. 16 Section 12 - Facebook Prophet/Forecasting at Uber [TutFlix.ORG]/Forecasting at Uber.mp4 9MB
  158. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Google Causal Impact Setup/Python - Google Causal Impact Setup.mp4 9MB
  159. 7 Section 6 - Logistic Regression/Python - Prepare X and Y/Python - Prepare X and Y.mp4 9MB
  160. 5 Section 4 - Linear Regression/Python - Adding Constant/Python - Adding Constant.mp4 9MB
  161. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Python - Defining Dates/Python - Defining Dates.mp4 9MB
  162. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Applying RFM Function/Python - Applying RFM Function.mp4 9MB
  163. 6 Section 5 - Multilinear Regression/Accuracy KPIs (Key Performance Indicators)/Accuracy KPIs (Key Performance Indicators).mp4 9MB
  164. 7 Section 6 - Logistic Regression/Logistic Regression/Logistic Regression.mp4 8MB
  165. 10 Section 8 - Matching/Matching/Matching.mp4 8MB
  166. 6 Section 5 - Multilinear Regression/Python - Train and Test Split/Python - Train and Test Split.mp4 8MB
  167. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Correlation Recap and Stationarity/Correlation Recap and Stationarity.mp4 8MB
  168. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/RFM Model/RFM Model.mp4 8MB
  169. 13 Section 10 - Gaussian Mixture/Gaussian Mixture Model/Gaussian Mixture Model.mp4 8MB
  170. 16 Section 12 - Facebook Prophet/Python - Regressor Coefficients [TutFlix.ORG]/Python - Regressor Coefficients.mp4 8MB
  171. 3 Section 2 - Basic Statistics/CASE STUDY - Moneyball/CASE STUDY - Moneyball.mp4 8MB
  172. 16 Section 12 - Facebook Prophet/Facebook Prophet [TutFlix.ORG]/Facebook Prophet.mp4 8MB
  173. 5 Section 4 - Linear Regression/Dummy Variable Trap/Dummy Variable Trap.mp4 7MB
  174. 13 Section 10 - Gaussian Mixture/My Experience with Segmentation/My Experience with Segmentation.mp4 7MB
  175. 4 Section 3 - Intermediary Statistics/Normal Distribution/Normal Distribution.mp4 7MB
  176. 3 Section 2 - Basic Statistics/Arithmetic Mean/Arithmetic Mean.mp4 7MB
  177. 16 Section 12 - Facebook Prophet/Structural Time Series [TutFlix.ORG]/Structural Time Series.mp4 7MB
  178. 7 Section 6 - Logistic Regression/How to Read Logistic Regression Coefficients/How to Read Logistic Regression Coefficients.mp4 7MB
  179. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - RFM Score/Python - RFM Score.mp4 7MB
  180. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/CASE STUDY - Bitcoin Pricing (Briefing)/CASE STUDY - Bitcoin Pricing (Briefing).mp4 6MB
  181. 16 Section 12 - Facebook Prophet/Additive vs [TutFlix.ORG]. Multiplicative Seasonality/Additive vs. Multiplicative Seasonality.mp4 6MB
  182. 4 Section 3 - Intermediary Statistics/Chi-square test/Chi-square test.mp4 6MB
  183. 15 Section 11 - Random Forest/Parameter Tuning/Parameter Tuning.mp4 6MB
  184. 4 Section 3 - Intermediary Statistics/Standard Error of the Mean/Standard Error of the Mean.mp4 6MB
  185. 6 Section 5 - Multilinear Regression/Python - Model Predictions/Python - Model Predictions.mp4 6MB
  186. 13 Section 10 - Gaussian Mixture/AIC and BIC/AIC and BIC.mp4 6MB
  187. 4 Section 3 - Intermediary Statistics/Z-Score/Z-Score.mp4 6MB
  188. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Assumptions/Assumptions.mp4 6MB
  189. 10 Section 8 - Matching/Matching - Game Plan/Matching - Game Plan.mp4 5MB
  190. 10 Section 8 - Matching/My Experience with Matching/My Experience with Matching.mp4 5MB
  191. 4 Section 3 - Intermediary Statistics/CASE STUDY - Wine Quality (Briefing)/CASE STUDY - Wine Quality (Briefing).mp4 5MB
  192. 4 Section 3 - Intermediary Statistics/T-test/T-test.mp4 5MB
  193. 10 Section 8 - Matching/The Curse of Dimensionality/The Curse of Dimensionality.mp4 5MB
  194. 16 Section 12 - Facebook Prophet/Facebook Prophet Parameters [TutFlix.ORG]/Facebook Prophet Parameters.mp4 5MB
  195. 10 Section 8 - Matching/Unconfoundedness/Unconfoundedness.mp4 5MB
  196. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Python - Monetary Variable/Python - Monetary Variable.mp4 5MB
  197. 16 Section 12 - Facebook Prophet/Dynamic Holidays [TutFlix.ORG]/Dynamic Holidays.mp4 5MB
  198. 15 Section 11 - Random Forest/Python - Predictions/Python - Predictions.mp4 5MB
  199. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/Value Based Segmentation/Value Based Segmentation.mp4 5MB
  200. 6 Section 5 - Multilinear Regression/Outliers/Outliers.mp4 5MB
  201. 3 Section 2 - Basic Statistics/Median and Mode/Median and Mode.mp4 5MB
  202. 13 Section 10 - Gaussian Mixture/Clustering/Clustering.mp4 5MB
  203. 10 Section 8 - Matching/Robustness Checks/Robustness Checks.mp4 5MB
  204. 16 Section 12 - Facebook Prophet/Training and Test Set [TutFlix.ORG]/Training and Test Set.mp4 5MB
  205. 6 Section 5 - Multilinear Regression/Python - Adding Constant/Python - Adding Constant.mp4 5MB
  206. 4 Section 3 - Intermediary Statistics/Shapiro-Wilks Test/Shapiro-Wilks Test.mp4 5MB
  207. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Difference-in-Differences Framework/Difference-in-Differences Framework.mp4 4MB
  208. 15 Section 11 - Random Forest/Ensemble Learning and Random Forest/Ensemble Learning and Random Forest.mp4 4MB
  209. 3 Section 2 - Basic Statistics/Standard Deviation/Standard Deviation.mp4 4MB
  210. 3 Section 2 - Basic Statistics/EXERCISE - Python - Standard Deviation/EXERCISE - Python - Standard Deviation.mp4 4MB
  211. 15 Section 11 - Random Forest/Random Forest Quirks/Random Forest Quirks.mp4 4MB
  212. 10 Section 8 - Matching/CASE STUDY - Catholic Schools & Standardized Tests (Briefing)/CASE STUDY - Catholic Schools & Standardized Tests (Briefing).mp4 3MB
  213. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Causal Impact Step-by-Step/Causal Impact Step-by-Step.mp4 3MB
  214. 6 Section 5 - Multilinear Regression/Multilinear Regression - Game Plan/Multilinear Regression - Game Plan.mp4 3MB
  215. 16 Section 12 - Facebook Prophet/Parameters to tune [TutFlix.ORG]/Parameters to tune.mp4 3MB
  216. 16 Section 12 - Facebook Prophet/Facebook Prophet - Game Plan [TutFlix.ORG]/Facebook Prophet - Game Plan.mp4 3MB
  217. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Google Causal Impact - Game Plan/Google Causal Impact - Game Plan.mp4 3MB
  218. 5 Section 4 - Linear Regression/Linear Regression - Game Plan/Linear Regression - Game Plan.mp4 3MB
  219. 15 Section 11 - Random Forest/Random Forest - Game Plan/Random Forest - Game Plan.mp4 3MB
  220. 9 Section 7 - Google Causal Impact (Econometrics and Causal Inference)/Time Series Data/Time Series Data.mp4 3MB
  221. 6 Section 5 - Multilinear Regression/The Concept of Multilinear Regression/The Concept of Multilinear Regression.mp4 3MB
  222. 7 Section 6 - Logistic Regression/Logistic Regression - Game Plan/Logistic Regression - Game Plan.mp4 3MB
  223. 6 Section 5 - Multilinear Regression/Under and Over Fitting/Under and Over Fitting.mp4 3MB
  224. 5 Section 4 - Linear Regression/CASE STUDY - Diamonds (Briefing)/CASE STUDY - Diamonds (Briefing).mp4 3MB
  225. 13 Section 10 - Gaussian Mixture/Gaussian Mixture - Game Plan/Gaussian Mixture - Game Plan.mp4 3MB
  226. 16 Section 12 - Facebook Prophet/Cross-validation [TutFlix.ORG]/Cross-validation.mp4 3MB
  227. 3 Section 2 - Basic Statistics/Basic Statistics - Game Plan/Basic Statistics - Game Plan.mp4 3MB
  228. 13 Section 10 - Gaussian Mixture/CASE STUDY - Credit Cards #1 (Briefing)/CASE STUDY - Credit Cards #1 (Briefing).mp4 3MB
  229. 7 Section 6 - Logistic Regression/CASE STUDY - Spam Emails (Briefing)/CASE STUDY - Spam Emails (Briefing).mp4 3MB
  230. 16 Section 12 - Facebook Prophet/CASE STUDY - Wikipedia (Briefing) [TutFlix.ORG]/CASE STUDY - Wikipedia (Briefing).mp4 2MB
  231. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/RFM - Game Plan/RFM - Game Plan.mp4 2MB
  232. 4 Section 3 - Intermediary Statistics/CASE STUDY - Remote Work Predictions (Briefing)/CASE STUDY - Remote Work Predictions (Briefing).mp4 2MB
  233. 4 Section 3 - Intermediary Statistics/Intermediary Statistics - Game Plan/Intermediary Statistics - Game Plan.mp4 2MB
  234. 6 Section 5 - Multilinear Regression/Training and Test Set/Training and Test Set.mp4 2MB
  235. 12 Section 9 - RFM (Recency, Frequency, Monetary) Analysis/CASE STUDY - Online Shopping (Briefing)/CASE STUDY - Online Shopping (Briefing).mp4 2MB
  236. 6 Section 5 - Multilinear Regression/CASE STUDY - Professors' Salary (Briefing)/CASE STUDY - Professors' Salary (Briefing).mp4 2MB
  237. 3 Section 2 - Basic Statistics/CASE STUDY - Moneyball (Briefing)/CASE STUDY - Moneyball (Briefing).mp4 1MB
  238. 15 Section 11 - Random Forest/CASE STUDY - Credit Cards #2 (Briefing)/CASE STUDY - Credit Cards #2 (Briefing).mp4 1MB
  239. 1 Section 1 - Introduction/Exercise_ Meet Your Classmates and Instructor.pdf 250KB
  240. 11 PART C_ SEGMENTATION/What is Segmentation and why is it important.pdf 208KB
  241. 8 PART B_ ECONOMETRICS & CAUSAL INFERENCE/What are Econometrics & Causal Inference and why are they important.pdf 191KB
  242. 14 PART D_ PREDICTIVE ANALYTICS/What are Predictive Analytics and why are they important.pdf 186KB
  243. 2 PART A_ STATISTICS/What are Statistics and why are they important.pdf 170KB
  244. 0. Websites you may like/1. Get Free Premium Accounts Daily On Our Discord Server!.txt 1KB
  245. 0. Websites you may like/2. OneHack.us Premium Cracked Accounts-Tutorials-Guides-Articles Community Based Forum.url 377B
  246. 0. Websites you may like/4. FreeCoursesOnline.me Download Udacity, Masterclass, Lynda, PHLearn, etc Free.url 290B
  247. 0. Websites you may like/3. FTUApps.com Download Cracked Developers Applications For Free.url 239B