PacktPub - Data Cleansing Master Class in Python

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Files
  1. Exercises Files.zip 304.42KB
  2. .pad/736848 719.58KB
  3. Section 1/01.01-course_introduction.mkv 152.85MB
  4. .pad/153574 149.97KB
  5. Section 1/01.02-course_structure.mkv 157.17MB
  6. .pad/873062 852.60KB
  7. Section 1/01.03-is_this_course_right_for_you.mkv 4.25MB
  8. .pad/782810 764.46KB
  9. Section 2/02.01-introducing_data_preparation.mkv 277.14MB
  10. .pad/897414 876.38KB
  11. Section 2/02.02-the_machine_learning_process.mkv 90.77MB
  12. .pad/237919 232.34KB
  13. Section 2/02.03-data_preparation_defined.mkv 251.94MB
  14. .pad/67333 65.75KB
  15. Section 2/02.04-choosing_a_data_preparation_technique.mkv 264.02MB
  16. .pad/1026228 1002.18KB
  17. Section 2/02.05-what_is_data_in_machine_learning.mkv 75.71MB
  18. .pad/306943 299.75KB
  19. Section 2/02.06-raw_data.mkv 115.35MB
  20. .pad/683391 667.37KB
  21. Section 2/02.07-machine_learning_is_mostly_data_preparation.mkv 29.11MB
  22. .pad/930537 908.73KB
  23. Section 2/02.08-common_data_preparation_tasks-data_cleansing.mkv 160.19MB
  24. .pad/851725 831.76KB
  25. Section 2/02.09-common_data_preparation_tasks-feature_selection.mkv 51.66MB
  26. .pad/355091 346.77KB
  27. Section 2/02.10-common_data_preparation_tasks-data_transforms.mkv 10.46MB
  28. .pad/566501 553.22KB
  29. Section 2/02.11-common_data_preparation_tasks-feature_engineering.mkv 134.62MB
  30. .pad/395493 386.22KB
  31. Section 2/02.12-common_data_preparation_tasks-dimensionality_reduction.mkv 9.14MB
  32. .pad/901620 880.49KB
  33. Section 2/02.13-data_leakage.mkv 11.27MB
  34. .pad/761582 743.73KB
  35. Section 2/02.14-problem_with_naive_data_preparation.mkv 142.92MB
  36. .pad/84317 82.34KB
  37. Section 2/02.15-case_study_data_leakage_train__test__split_naive_approach.mkv 46.89MB
  38. .pad/113444 110.79KB
  39. Section 2/02.16-case_study_data_leakage_train__test__split_correct_approach.mkv 27.23MB
  40. .pad/811976 792.95KB
  41. Section 2/02.17-case_study_data_leakage_k-fold_naive_approach.mkv 39.56MB
  42. .pad/461403 450.59KB
  43. Section 2/02.18-case_study_data_leakage_k-fold_correct_approach.mkv 35.40MB
  44. .pad/627675 612.96KB
  45. Section 3/03.01-data_cleansing_overview.mkv 159.66MB
  46. .pad/352730 344.46KB
  47. Section 3/03.02-identify_columns_that_contain_a_single_value.mkv 18.12MB
  48. .pad/917539 896.03KB
  49. Section 3/03.03-identify_columns_with_few_values.mkv 31.19MB
  50. .pad/848705 828.81KB
  51. Section 3/03.04-remove_columns_with_low_variance.mkv 29.14MB
  52. .pad/906845 885.59KB
  53. Section 3/03.05-identify_and_remove_rows_that_contain_duplicate_data.mkv 110.79MB
  54. .pad/223708 218.46KB
  55. Section 3/03.06-defining_outliers.mkv 97.67MB
  56. .pad/342030 334.01KB
  57. Section 3/03.07-remove_outliers-the_standard_deviation_approach.mkv 50.00MB
  58. .pad/2225 2.17KB
  59. Section 3/03.08-remove_outliers-the_iqr_approach.mkv 40.68MB
  60. .pad/338259 330.33KB
  61. Section 3/03.09-automatic_outlier_detection.mkv 50.22MB
  62. .pad/819459 800.25KB
  63. Section 3/03.10-mark_missing_values.mkv 60.03MB
  64. .pad/1020280 996.37KB
  65. Section 3/03.11-remove_rows_with_missing_values.mkv 27.74MB
  66. .pad/270981 264.63KB
  67. Section 3/03.12-statistical_imputation.mkv 5.98MB
  68. .pad/24755 24.17KB
  69. Section 3/03.13-mean_value_imputation.mkv 41.86MB
  70. .pad/146780 143.34KB
  71. Section 3/03.14-simple_imputer_with_model_evaluation.mkv 21.26MB
  72. .pad/779464 761.20KB
  73. Section 3/03.15-compare_different_statistical_imputation_strategies.mkv 25.32MB
  74. .pad/717787 700.96KB
  75. Section 3/03.16-k-nearest_neighbors_imputation.mkv 44.39MB
  76. .pad/639658 624.67KB
  77. Section 3/03.17-knnimputer_and_model_evaluation.mkv 34.33MB
  78. .pad/697727 681.37KB
  79. Section 3/03.18-iterative_imputation.mkv 37.61MB
  80. .pad/407005 397.47KB
  81. Section 3/03.19-iterativeimputer_and_model_evaluation.mkv 18.41MB
  82. .pad/620841 606.29KB
  83. Section 3/03.20-iterativeimputer_and_different_imputation_order.mkv 23.03MB
  84. .pad/1020837 996.91KB
  85. Section 4/04.01-feature_selection_introduction.mkv 203.11MB
  86. .pad/928873 907.10KB
  87. Section 4/04.02-feature_selection_defined.mkv 11.88MB
  88. .pad/126104 123.15KB
  89. Section 4/04.03-statistics_for_feature_selection.mkv 104.30MB
  90. .pad/738326 721.02KB
  91. Section 4/04.04-loading_a_categorical_dataset.mkv 27.65MB
  92. .pad/369512 360.85KB
  93. Section 4/04.05-encode_the_dataset_for_modelling.mkv 25.02MB
  94. .pad/1028594 1004.49KB
  95. Section 4/04.06-chi-squared.mkv 17.49MB
  96. .pad/539781 527.13KB
  97. Section 4/04.07-mutual_information.mkv 18.20MB
  98. .pad/842348 822.61KB
  99. Section 4/04.08-modeling_with_selected_categorical_features.mkv 37.43MB
  100. .pad/600149 586.08KB
  101. Section 4/04.09-feature_selection_with_anova_on_numerical_input.mkv 41.78MB
  102. .pad/233595 228.12KB
  103. Section 4/04.10-feature_selection_with_mutual_information.mkv 18.20MB
  104. .pad/834432 814.88KB
  105. Section 4/04.11-modeling_with_selected_numerical_features.mkv 25.98MB
  106. .pad/16481 16.09KB
  107. Section 4/04.12-tuning_a_number_of_selected_features.mkv 37.97MB
  108. .pad/32073 31.32KB
  109. Section 4/04.13-select_features_for_numerical_output.mkv 22.68MB
  110. .pad/331623 323.85KB
  111. Section 4/04.14-linear_correlation_with_correlation_statistics.mkv 26.18MB
  112. .pad/856348 836.28KB
  113. Section 4/04.15-linear_correlation_with_mutual_information.mkv 29.38MB
  114. .pad/654842 639.49KB
  115. Section 4/04.16-baseline_and_model_built_using_correlation.mkv 35.73MB
  116. .pad/277880 271.37KB
  117. Section 4/04.17-model_built_using_mutual_information_features.mkv 11.42MB
  118. .pad/605900 591.70KB
  119. Section 4/04.18-tuning_number_of_selected_features.mkv 54.69MB
  120. .pad/326111 318.47KB
  121. Section 4/04.19-recursive_feature_elimination.mkv 176.57MB
  122. .pad/450945 440.38KB
  123. Section 4/04.20-rfe_for_classification.mkv 51.03MB
  124. .pad/1016141 992.33KB
  125. Section 4/04.21-rfe_for_regression.mkv 26.21MB
  126. .pad/831070 811.59KB
  127. Section 4/04.22-rfe_hyperparameters.mkv 32.64MB
  128. .pad/382577 373.61KB
  129. Section 4/04.23-feature_ranking_for_rfe.mkv 29.59MB
  130. .pad/428522 418.48KB
  131. Section 4/04.24-feature_importance_scores_defined.mkv 187.17MB
  132. .pad/873536 853.06KB
  133. Section 4/04.25-feature_importance_scores_linear_regression.mkv 35.15MB
  134. .pad/892696 871.77KB
  135. Section 4/04.26-feature_importance_scores_logistic_regression_and_cart.mkv 36.53MB
  136. .pad/489846 478.37KB
  137. Section 4/04.27-feature_importance_scores_random_forests.mkv 17.01MB
  138. .pad/1041423 1017.01KB
  139. Section 4/04.28-permutation_feature_importance.mkv 28.41MB
  140. .pad/622970 608.37KB
  141. Section 4/04.29-feature_selection_with_importance.mkv 42.35MB
  142. .pad/678321 662.42KB
  143. Section 5/05.01-scale_numerical_data.mkv 11.06MB
  144. .pad/982018 959.00KB
  145. Section 5/05.02-diabetes_dataset_for_scaling.mkv 23.04MB
  146. .pad/1010788 987.10KB
  147. Section 5/05.03-minmaxscaler_transform.mkv 24.25MB
  148. .pad/783322 764.96KB
  149. Section 5/05.04-standardscaler_transform.mkv 28.50MB
  150. .pad/522851 510.60KB
  151. Section 5/05.05-robust_scaling_data.mkv 42.49MB
  152. .pad/538114 525.50KB
  153. Section 5/05.06-robust_scaler_applied_to_dataset.mkv 22.60MB
  154. .pad/420830 410.97KB
  155. Section 5/05.07-explore_robust_scaler_range.mkv 14.91MB
  156. .pad/98079 95.78KB
  157. Section 5/05.08-nominal_and_ordinal_variables.mkv 301.65MB
  158. .pad/367910 359.29KB
  159. Section 5/05.09-ordinal_encoding.mkv 17.01MB
  160. .pad/1035088 1010.83KB
  161. Section 5/05.10-one-hot_encoding_defined.mkv 3.70MB
  162. .pad/313564 306.21KB
  163. Section 5/05.11-one-hot_encoding.mkv 17.27MB
  164. .pad/767547 749.56KB
  165. Section 5/05.12-dummy_variable_encoding.mkv 17.46MB
  166. .pad/563078 549.88KB
  167. Section 5/05.13-ordinal_encoder_transform_on_breast_cancer_dataset.mkv 45.66MB
  168. .pad/355303 346.98KB
  169. Section 5/05.14-make_distributions_more_gaussian.mkv 8.88MB
  170. .pad/125449 122.51KB
  171. Section 5/05.15-power_transform_on_contrived_dataset.mkv 21.34MB
  172. .pad/692284 676.06KB
  173. Section 5/05.16-power_transform_on_sonar_dataset.mkv 28.99MB
  174. .pad/8885 8.68KB
  175. Section 5/05.17-box-cox_on_sonar_dataset.mkv 31.78MB
  176. .pad/233879 228.40KB
  177. Section 5/05.18-yeo-johnson_on_sonar_dataset.mkv 26.03MB
  178. .pad/1021767 997.82KB
  179. Section 5/05.19-polynomial_features.mkv 152.87MB
  180. .pad/140111 136.83KB
  181. Section 5/05.20-effect_of_polynomial_degrees.mkv 19.25MB
  182. .pad/786774 768.33KB
  183. Section 6/06.01-transforming_different_data_types.mkv 23.42MB
  184. .pad/606506 592.29KB
  185. Section 6/06.02-the_columntransformer.mkv 28.22MB
  186. .pad/814529 795.44KB
  187. Section 6/06.03-the_columntransformer_on_abalone_dataset.mkv 35.33MB
  188. .pad/707365 690.79KB
  189. Section 6/06.04-manually_transform_target_variable.mkv 24.53MB
  190. .pad/492371 480.83KB
  191. Section 6/06.05-automatically_transform_target_variable.mkv 54.43MB
  192. .pad/593468 579.56KB
  193. Section 6/06.06-challenge_of_preparing_new_data_for_a_model.mkv 246.91MB
  194. .pad/97497 95.21KB
  195. Section 6/06.07-save_model_and_data_scaler.mkv 40.38MB
  196. .pad/649746 634.52KB
  197. Section 6/06.08-load_and_apply_saved_scalers.mkv 17.94MB
  198. .pad/60059 58.65KB
  199. Section 7/07.01-curse_of_dimensionality.mkv 14.33MB
  200. .pad/706490 689.93KB
  201. Section 7/07.02-techniques_for_dimensionality_reduction.mkv 97.49MB
  202. .pad/531461 519.00KB
  203. Section 7/07.03-linear_discriminant_analysis.mkv 19.26MB
  204. .pad/774239 756.09KB
  205. Section 7/07.04-linear_discriminant_analysis_demonstrated.mkv 49.11MB
  206. .pad/937414 915.44KB
  207. Section 7/07.05-principal_component_analysis.mkv 59.75MB