| Section 5/05.08-nominal_and_ordinal_variables.mkv | 301.65 MB |
| Section 2/02.01-introducing_data_preparation.mkv | 277.14 MB |
| Section 2/02.04-choosing_a_data_preparation_technique.mkv | 264.02 MB |
| Section 2/02.03-data_preparation_defined.mkv | 251.94 MB |
| Section 6/06.06-challenge_of_preparing_new_data_for_a_model.mkv | 246.91 MB |
| Section 4/04.01-feature_selection_introduction.mkv | 203.11 MB |
| Section 4/04.24-feature_importance_scores_defined.mkv | 187.17 MB |
| Section 4/04.19-recursive_feature_elimination.mkv | 176.57 MB |
| Section 2/02.08-common_data_preparation_tasks-data_cleansing.mkv | 160.19 MB |
| Section 3/03.01-data_cleansing_overview.mkv | 159.66 MB |
| Section 1/01.02-course_structure.mkv | 157.17 MB |
| Section 5/05.19-polynomial_features.mkv | 152.87 MB |
| Section 1/01.01-course_introduction.mkv | 152.85 MB |
| Section 2/02.14-problem_with_naive_data_preparation.mkv | 142.92 MB |
| Section 2/02.11-common_data_preparation_tasks-feature_engineering.mkv | 134.62 MB |
| Section 2/02.06-raw_data.mkv | 115.35 MB |
| Section 3/03.05-identify_and_remove_rows_that_contain_duplicate_data.mkv | 110.79 MB |
| Section 4/04.03-statistics_for_feature_selection.mkv | 104.3 MB |
| Section 3/03.06-defining_outliers.mkv | 97.67 MB |
| Section 7/07.02-techniques_for_dimensionality_reduction.mkv | 97.49 MB |
| Section 2/02.02-the_machine_learning_process.mkv | 90.77 MB |
| Section 2/02.05-what_is_data_in_machine_learning.mkv | 75.71 MB |
| Section 3/03.10-mark_missing_values.mkv | 60.03 MB |
| Section 7/07.05-principal_component_analysis.mkv | 59.75 MB |
| Section 4/04.18-tuning_number_of_selected_features.mkv | 54.69 MB |
| Section 6/06.05-automatically_transform_target_variable.mkv | 54.43 MB |
| Section 2/02.09-common_data_preparation_tasks-feature_selection.mkv | 51.66 MB |
| Section 4/04.20-rfe_for_classification.mkv | 51.03 MB |
| Section 3/03.09-automatic_outlier_detection.mkv | 50.22 MB |
| Section 3/03.07-remove_outliers-the_standard_deviation_approach.mkv | 50 MB |
| Section 7/07.04-linear_discriminant_analysis_demonstrated.mkv | 49.11 MB |
| Section 2/02.15-case_study_data_leakage_train__test__split_naive_approach.mkv | 46.89 MB |
| Section 5/05.13-ordinal_encoder_transform_on_breast_cancer_dataset.mkv | 45.66 MB |
| Section 3/03.16-k-nearest_neighbors_imputation.mkv | 44.39 MB |
| Section 5/05.05-robust_scaling_data.mkv | 42.49 MB |
| Section 4/04.29-feature_selection_with_importance.mkv | 42.35 MB |
| Section 3/03.13-mean_value_imputation.mkv | 41.86 MB |
| Section 4/04.09-feature_selection_with_anova_on_numerical_input.mkv | 41.78 MB |
| Section 3/03.08-remove_outliers-the_iqr_approach.mkv | 40.68 MB |
| Section 6/06.07-save_model_and_data_scaler.mkv | 40.38 MB |
| Section 2/02.17-case_study_data_leakage_k-fold_naive_approach.mkv | 39.56 MB |
| Section 4/04.12-tuning_a_number_of_selected_features.mkv | 37.97 MB |
| Section 3/03.18-iterative_imputation.mkv | 37.61 MB |
| Section 4/04.08-modeling_with_selected_categorical_features.mkv | 37.43 MB |
| Section 4/04.26-feature_importance_scores_logistic_regression_and_cart.mkv | 36.53 MB |
| Section 4/04.16-baseline_and_model_built_using_correlation.mkv | 35.73 MB |
| Section 2/02.18-case_study_data_leakage_k-fold_correct_approach.mkv | 35.4 MB |
| Section 6/06.03-the_columntransformer_on_abalone_dataset.mkv | 35.33 MB |
| Section 4/04.25-feature_importance_scores_linear_regression.mkv | 35.15 MB |
| Section 3/03.17-knnimputer_and_model_evaluation.mkv | 34.33 MB |