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| 0. OneHack.us Premium Cracked Accounts-Tutorials-Guides-Articles Community Based Forum.url |
377б |
| 01.01-course_introduction.mkv |
152.85Мб |
| 01.02-course_structure.mkv |
157.17Мб |
| 01.03-is_this_course_right_for_you.mkv |
4.25Мб |
| 02.01-introducing_data_preparation.mkv |
277.14Мб |
| 02.02-the_machine_learning_process.mkv |
90.77Мб |
| 02.03-data_preparation_defined.mkv |
251.94Мб |
| 02.04-choosing_a_data_preparation_technique.mkv |
264.02Мб |
| 02.05-what_is_data_in_machine_learning.mkv |
75.71Мб |
| 02.06-raw_data.mkv |
115.35Мб |
| 02.07-machine_learning_is_mostly_data_preparation.mkv |
29.11Мб |
| 02.08-common_data_preparation_tasks-data_cleansing.mkv |
160.19Мб |
| 02.09-common_data_preparation_tasks-feature_selection.mkv |
51.66Мб |
| 02.10-common_data_preparation_tasks-data_transforms.mkv |
10.46Мб |
| 02.11-common_data_preparation_tasks-feature_engineering.mkv |
134.62Мб |
| 02.12-common_data_preparation_tasks-dimensionality_reduction.mkv |
9.14Мб |
| 02.13-data_leakage.mkv |
11.27Мб |
| 02.14-problem_with_naive_data_preparation.mkv |
142.92Мб |
| 02.15-case_study_data_leakage_train__test__split_naive_approach.mkv |
46.89Мб |
| 02.16-case_study_data_leakage_train__test__split_correct_approach.mkv |
27.23Мб |
| 02.17-case_study_data_leakage_k-fold_naive_approach.mkv |
39.56Мб |
| 02.18-case_study_data_leakage_k-fold_correct_approach.mkv |
35.40Мб |
| 03.01-data_cleansing_overview.mkv |
159.66Мб |
| 03.02-identify_columns_that_contain_a_single_value.mkv |
18.12Мб |
| 03.03-identify_columns_with_few_values.mkv |
31.19Мб |
| 03.04-remove_columns_with_low_variance.mkv |
29.14Мб |
| 03.05-identify_and_remove_rows_that_contain_duplicate_data.mkv |
110.79Мб |
| 03.06-defining_outliers.mkv |
97.67Мб |
| 03.07-remove_outliers-the_standard_deviation_approach.mkv |
50.00Мб |
| 03.08-remove_outliers-the_iqr_approach.mkv |
40.68Мб |
| 03.09-automatic_outlier_detection.mkv |
50.22Мб |
| 03.10-mark_missing_values.mkv |
60.03Мб |
| 03.11-remove_rows_with_missing_values.mkv |
27.74Мб |
| 03.12-statistical_imputation.mkv |
5.98Мб |
| 03.13-mean_value_imputation.mkv |
41.86Мб |
| 03.14-simple_imputer_with_model_evaluation.mkv |
21.26Мб |
| 03.15-compare_different_statistical_imputation_strategies.mkv |
25.32Мб |
| 03.16-k-nearest_neighbors_imputation.mkv |
44.39Мб |
| 03.17-knnimputer_and_model_evaluation.mkv |
34.33Мб |
| 03.18-iterative_imputation.mkv |
37.61Мб |
| 03.19-iterativeimputer_and_model_evaluation.mkv |
18.41Мб |
| 03.20-iterativeimputer_and_different_imputation_order.mkv |
23.03Мб |
| 04.01-feature_selection_introduction.mkv |
203.11Мб |
| 04.02-feature_selection_defined.mkv |
11.88Мб |
| 04.03-statistics_for_feature_selection.mkv |
104.30Мб |
| 04.04-loading_a_categorical_dataset.mkv |
27.65Мб |
| 04.05-encode_the_dataset_for_modelling.mkv |
25.02Мб |
| 04.06-chi-squared.mkv |
17.49Мб |
| 04.07-mutual_information.mkv |
18.20Мб |
| 04.08-modeling_with_selected_categorical_features.mkv |
37.43Мб |
| 04.09-feature_selection_with_anova_on_numerical_input.mkv |
41.78Мб |
| 04.10-feature_selection_with_mutual_information.mkv |
18.20Мб |
| 04.11-modeling_with_selected_numerical_features.mkv |
25.98Мб |
| 04.12-tuning_a_number_of_selected_features.mkv |
37.97Мб |
| 04.13-select_features_for_numerical_output.mkv |
22.68Мб |
| 04.14-linear_correlation_with_correlation_statistics.mkv |
26.18Мб |
| 04.15-linear_correlation_with_mutual_information.mkv |
29.38Мб |
| 04.16-baseline_and_model_built_using_correlation.mkv |
35.73Мб |
| 04.17-model_built_using_mutual_information_features.mkv |
11.42Мб |
| 04.18-tuning_number_of_selected_features.mkv |
54.69Мб |
| 04.19-recursive_feature_elimination.mkv |
176.57Мб |
| 04.20-rfe_for_classification.mkv |
51.03Мб |
| 04.21-rfe_for_regression.mkv |
26.21Мб |
| 04.22-rfe_hyperparameters.mkv |
32.64Мб |
| 04.23-feature_ranking_for_rfe.mkv |
29.59Мб |
| 04.24-feature_importance_scores_defined.mkv |
187.17Мб |
| 04.25-feature_importance_scores_linear_regression.mkv |
35.15Мб |
| 04.26-feature_importance_scores_logistic_regression_and_cart.mkv |
36.53Мб |
| 04.27-feature_importance_scores_random_forests.mkv |
17.01Мб |
| 04.28-permutation_feature_importance.mkv |
28.41Мб |
| 04.29-feature_selection_with_importance.mkv |
42.35Мб |
| 05.01-scale_numerical_data.mkv |
11.06Мб |
| 05.02-diabetes_dataset_for_scaling.mkv |
23.04Мб |
| 05.03-minmaxscaler_transform.mkv |
24.25Мб |
| 05.04-standardscaler_transform.mkv |
28.50Мб |
| 05.05-robust_scaling_data.mkv |
42.49Мб |
| 05.06-robust_scaler_applied_to_dataset.mkv |
22.60Мб |
| 05.07-explore_robust_scaler_range.mkv |
14.91Мб |
| 05.08-nominal_and_ordinal_variables.mkv |
301.65Мб |
| 05.09-ordinal_encoding.mkv |
17.01Мб |
| 05.10-one-hot_encoding_defined.mkv |
3.70Мб |
| 05.11-one-hot_encoding.mkv |
17.27Мб |
| 05.12-dummy_variable_encoding.mkv |
17.46Мб |
| 05.13-ordinal_encoder_transform_on_breast_cancer_dataset.mkv |
45.66Мб |
| 05.14-make_distributions_more_gaussian.mkv |
8.88Мб |
| 05.15-power_transform_on_contrived_dataset.mkv |
21.34Мб |
| 05.16-power_transform_on_sonar_dataset.mkv |
28.99Мб |
| 05.17-box-cox_on_sonar_dataset.mkv |
31.78Мб |
| 05.18-yeo-johnson_on_sonar_dataset.mkv |
26.03Мб |
| 05.19-polynomial_features.mkv |
152.87Мб |
| 05.20-effect_of_polynomial_degrees.mkv |
19.25Мб |
| 06.01-transforming_different_data_types.mkv |
23.42Мб |
| 06.02-the_columntransformer.mkv |
28.22Мб |
| 06.03-the_columntransformer_on_abalone_dataset.mkv |
35.33Мб |
| 06.04-manually_transform_target_variable.mkv |
24.53Мб |
| 06.05-automatically_transform_target_variable.mkv |
54.43Мб |
| 06.06-challenge_of_preparing_new_data_for_a_model.mkv |
246.91Мб |
| 06.07-save_model_and_data_scaler.mkv |
40.38Мб |
| 06.08-load_and_apply_saved_scalers.mkv |
17.94Мб |
| 07.01-curse_of_dimensionality.mkv |
14.33Мб |
| 07.02-techniques_for_dimensionality_reduction.mkv |
97.49Мб |
| 07.03-linear_discriminant_analysis.mkv |
19.26Мб |
| 07.04-linear_discriminant_analysis_demonstrated.mkv |
49.11Мб |
| 07.05-principal_component_analysis.mkv |
59.75Мб |
| 1. FreeCoursesOnline.Me Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url |
286б |
| 3. FTUApps.com Download Cracked Developers Applications For Free.url |
239б |
| Exercises Files.zip |
304.42Кб |
| For $3, Get Anything Official like Windows 11 keys + Microsoft Office 365 Accounts! Hurry! Limited Time Offer.url |
1.82Кб |
| How you can help our Group!.txt |
204б |