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[CourseClub.Me] PacktPub - Data Cleansing Master Class in Python
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[CourseClub.Me] PacktPub - Data Cleansing Master Class in Python
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2022-02-03
最近下载:
2024-10-03
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文件列表
Section 5/05.08-nominal_and_ordinal_variables.mkv
316.3 MB
Section 2/02.01-introducing_data_preparation.mkv
290.6 MB
Section 2/02.04-choosing_a_data_preparation_technique.mkv
276.8 MB
Section 2/02.03-data_preparation_defined.mkv
264.2 MB
Section 6/06.06-challenge_of_preparing_new_data_for_a_model.mkv
258.9 MB
Section 4/04.01-feature_selection_introduction.mkv
213.0 MB
Section 4/04.24-feature_importance_scores_defined.mkv
196.3 MB
Section 4/04.19-recursive_feature_elimination.mkv
185.1 MB
Section 2/02.08-common_data_preparation_tasks-data_cleansing.mkv
168.0 MB
Section 3/03.01-data_cleansing_overview.mkv
167.4 MB
Section 1/01.02-course_structure.mkv
164.8 MB
Section 5/05.19-polynomial_features.mkv
160.3 MB
Section 1/01.01-course_introduction.mkv
160.3 MB
Section 2/02.14-problem_with_naive_data_preparation.mkv
149.9 MB
Section 2/02.11-common_data_preparation_tasks-feature_engineering.mkv
141.2 MB
Section 2/02.06-raw_data.mkv
121.0 MB
Section 3/03.05-identify_and_remove_rows_that_contain_duplicate_data.mkv
116.2 MB
Section 4/04.03-statistics_for_feature_selection.mkv
109.4 MB
Section 3/03.06-defining_outliers.mkv
102.4 MB
Section 7/07.02-techniques_for_dimensionality_reduction.mkv
102.2 MB
Section 2/02.02-the_machine_learning_process.mkv
95.2 MB
Section 2/02.05-what_is_data_in_machine_learning.mkv
79.4 MB
Section 3/03.10-mark_missing_values.mkv
62.9 MB
Section 7/07.05-principal_component_analysis.mkv
62.7 MB
Section 4/04.18-tuning_number_of_selected_features.mkv
57.3 MB
Section 6/06.05-automatically_transform_target_variable.mkv
57.1 MB
Section 2/02.09-common_data_preparation_tasks-feature_selection.mkv
54.2 MB
Section 4/04.20-rfe_for_classification.mkv
53.5 MB
Section 3/03.09-automatic_outlier_detection.mkv
52.7 MB
Section 3/03.07-remove_outliers-the_standard_deviation_approach.mkv
52.4 MB
Section 7/07.04-linear_discriminant_analysis_demonstrated.mkv
51.5 MB
Section 2/02.15-case_study_data_leakage_train__test__split_naive_approach.mkv
49.2 MB
Section 5/05.13-ordinal_encoder_transform_on_breast_cancer_dataset.mkv
47.9 MB
Section 3/03.16-k-nearest_neighbors_imputation.mkv
46.5 MB
Section 5/05.05-robust_scaling_data.mkv
44.6 MB
Section 4/04.29-feature_selection_with_importance.mkv
44.4 MB
Section 3/03.13-mean_value_imputation.mkv
43.9 MB
Section 4/04.09-feature_selection_with_anova_on_numerical_input.mkv
43.8 MB
Section 3/03.08-remove_outliers-the_iqr_approach.mkv
42.7 MB
Section 6/06.07-save_model_and_data_scaler.mkv
42.3 MB
Section 2/02.17-case_study_data_leakage_k-fold_naive_approach.mkv
41.5 MB
Section 4/04.12-tuning_a_number_of_selected_features.mkv
39.8 MB
Section 3/03.18-iterative_imputation.mkv
39.4 MB
Section 4/04.08-modeling_with_selected_categorical_features.mkv
39.2 MB
Section 4/04.26-feature_importance_scores_logistic_regression_and_cart.mkv
38.3 MB
Section 4/04.16-baseline_and_model_built_using_correlation.mkv
37.5 MB
Section 2/02.18-case_study_data_leakage_k-fold_correct_approach.mkv
37.1 MB
Section 6/06.03-the_columntransformer_on_abalone_dataset.mkv
37.0 MB
Section 4/04.25-feature_importance_scores_linear_regression.mkv
36.9 MB
Section 3/03.17-knnimputer_and_model_evaluation.mkv
36.0 MB
Section 4/04.22-rfe_hyperparameters.mkv
34.2 MB
Section 5/05.17-box-cox_on_sonar_dataset.mkv
33.3 MB
Section 3/03.03-identify_columns_with_few_values.mkv
32.7 MB
Section 4/04.23-feature_ranking_for_rfe.mkv
31.0 MB
Section 4/04.15-linear_correlation_with_mutual_information.mkv
30.8 MB
Section 3/03.04-remove_columns_with_low_variance.mkv
30.6 MB
Section 2/02.07-machine_learning_is_mostly_data_preparation.mkv
30.5 MB
Section 5/05.16-power_transform_on_sonar_dataset.mkv
30.4 MB
Section 5/05.04-standardscaler_transform.mkv
29.9 MB
Section 4/04.28-permutation_feature_importance.mkv
29.8 MB
Section 6/06.02-the_columntransformer.mkv
29.6 MB
Section 3/03.11-remove_rows_with_missing_values.mkv
29.1 MB
Section 4/04.04-loading_a_categorical_dataset.mkv
29.0 MB
Section 2/02.16-case_study_data_leakage_train__test__split_correct_approach.mkv
28.5 MB
Section 4/04.21-rfe_for_regression.mkv
27.5 MB
Section 4/04.14-linear_correlation_with_correlation_statistics.mkv
27.5 MB
Section 5/05.18-yeo-johnson_on_sonar_dataset.mkv
27.3 MB
Section 4/04.11-modeling_with_selected_numerical_features.mkv
27.2 MB
Section 3/03.15-compare_different_statistical_imputation_strategies.mkv
26.5 MB
Section 4/04.05-encode_the_dataset_for_modelling.mkv
26.2 MB
Section 6/06.04-manually_transform_target_variable.mkv
25.7 MB
Section 5/05.03-minmaxscaler_transform.mkv
25.4 MB
Section 6/06.01-transforming_different_data_types.mkv
24.6 MB
Section 5/05.02-diabetes_dataset_for_scaling.mkv
24.2 MB
Section 3/03.20-iterativeimputer_and_different_imputation_order.mkv
24.1 MB
Section 4/04.13-select_features_for_numerical_output.mkv
23.8 MB
Section 5/05.06-robust_scaler_applied_to_dataset.mkv
23.7 MB
Section 5/05.15-power_transform_on_contrived_dataset.mkv
22.4 MB
Section 3/03.14-simple_imputer_with_model_evaluation.mkv
22.3 MB
Section 7/07.03-linear_discriminant_analysis.mkv
20.2 MB
Section 5/05.20-effect_of_polynomial_degrees.mkv
20.2 MB
Section 3/03.19-iterativeimputer_and_model_evaluation.mkv
19.3 MB
Section 4/04.10-feature_selection_with_mutual_information.mkv
19.1 MB
Section 4/04.07-mutual_information.mkv
19.1 MB
Section 3/03.02-identify_columns_that_contain_a_single_value.mkv
19.0 MB
Section 6/06.08-load_and_apply_saved_scalers.mkv
18.8 MB
Section 4/04.06-chi-squared.mkv
18.3 MB
Section 5/05.12-dummy_variable_encoding.mkv
18.3 MB
Section 5/05.11-one-hot_encoding.mkv
18.1 MB
Section 5/05.09-ordinal_encoding.mkv
17.8 MB
Section 4/04.27-feature_importance_scores_random_forests.mkv
17.8 MB
Section 5/05.07-explore_robust_scaler_range.mkv
15.6 MB
Section 7/07.01-curse_of_dimensionality.mkv
15.0 MB
Section 4/04.02-feature_selection_defined.mkv
12.5 MB
Section 4/04.17-model_built_using_mutual_information_features.mkv
12.0 MB
Section 2/02.13-data_leakage.mkv
11.8 MB
Section 5/05.01-scale_numerical_data.mkv
11.6 MB
Section 2/02.10-common_data_preparation_tasks-data_transforms.mkv
11.0 MB
Section 2/02.12-common_data_preparation_tasks-dimensionality_reduction.mkv
9.6 MB
Section 5/05.14-make_distributions_more_gaussian.mkv
9.3 MB
Section 3/03.12-statistical_imputation.mkv
6.3 MB
Section 1/01.03-is_this_course_right_for_you.mkv
4.5 MB
Section 5/05.10-one-hot_encoding_defined.mkv
3.9 MB
Exercises Files.zip
311.7 kB
0. Websites you may like/[CourseClub.ME].url
122 Bytes
Section 1/[CourseClub.Me].url
122 Bytes
Section 3/[CourseClub.Me].url
122 Bytes
Section 6/[CourseClub.Me].url
122 Bytes
[CourseClub.Me].url
122 Bytes
0. Websites you may like/[GigaCourse.Com].url
49 Bytes
Section 1/[GigaCourse.Com].url
49 Bytes
Section 3/[GigaCourse.Com].url
49 Bytes
Section 6/[GigaCourse.Com].url
49 Bytes
[GigaCourse.Com].url
49 Bytes
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