|
|
0. OneHack.us Premium Cracked Accounts-Tutorials-Guides-Articles Community Based Forum.url
|
URL
|
409.6 B
|
|
|
01.01-course_introduction.mkv
|
MKV
|
152.9 MB
|
|
|
01.02-course_structure.mkv
|
MKV
|
157.2 MB
|
|
|
01.03-is_this_course_right_for_you.mkv
|
MKV
|
4.3 MB
|
|
|
02.01-introducing_data_preparation.mkv
|
MKV
|
277.1 MB
|
|
|
02.02-the_machine_learning_process.mkv
|
MKV
|
90.8 MB
|
|
|
02.03-data_preparation_defined.mkv
|
MKV
|
251.9 MB
|
|
|
02.04-choosing_a_data_preparation_technique.mkv
|
MKV
|
264 MB
|
|
|
02.05-what_is_data_in_machine_learning.mkv
|
MKV
|
75.7 MB
|
|
|
02.06-raw_data.mkv
|
MKV
|
115.3 MB
|
|
|
02.07-machine_learning_is_mostly_data_preparation.mkv
|
MKV
|
29.1 MB
|
|
|
02.08-common_data_preparation_tasks-data_cleansing.mkv
|
MKV
|
160.2 MB
|
|
|
02.09-common_data_preparation_tasks-feature_selection.mkv
|
MKV
|
51.7 MB
|
|
|
02.10-common_data_preparation_tasks-data_transforms.mkv
|
MKV
|
10.5 MB
|
|
|
02.11-common_data_preparation_tasks-feature_engineering.mkv
|
MKV
|
134.6 MB
|
|
|
02.12-common_data_preparation_tasks-dimensionality_reduction.mkv
|
MKV
|
9.1 MB
|
|
|
02.13-data_leakage.mkv
|
MKV
|
11.3 MB
|
|
|
02.14-problem_with_naive_data_preparation.mkv
|
MKV
|
142.9 MB
|
|
|
02.15-case_study_data_leakage_train__test__split_naive_approach.mkv
|
MKV
|
46.9 MB
|
|
|
02.16-case_study_data_leakage_train__test__split_correct_approach.mkv
|
MKV
|
27.2 MB
|
|
|
02.17-case_study_data_leakage_k-fold_naive_approach.mkv
|
MKV
|
39.6 MB
|
|
|
02.18-case_study_data_leakage_k-fold_correct_approach.mkv
|
MKV
|
35.4 MB
|
|
|
03.01-data_cleansing_overview.mkv
|
MKV
|
159.7 MB
|
|
|
03.02-identify_columns_that_contain_a_single_value.mkv
|
MKV
|
18.1 MB
|
|
|
03.03-identify_columns_with_few_values.mkv
|
MKV
|
31.2 MB
|
|
|
03.04-remove_columns_with_low_variance.mkv
|
MKV
|
29.1 MB
|
|
|
03.05-identify_and_remove_rows_that_contain_duplicate_data.mkv
|
MKV
|
110.8 MB
|
|
|
03.06-defining_outliers.mkv
|
MKV
|
97.7 MB
|
|
|
03.07-remove_outliers-the_standard_deviation_approach.mkv
|
MKV
|
50 MB
|
|
|
03.08-remove_outliers-the_iqr_approach.mkv
|
MKV
|
40.7 MB
|
|
|
03.09-automatic_outlier_detection.mkv
|
MKV
|
50.2 MB
|
|
|
03.10-mark_missing_values.mkv
|
MKV
|
60 MB
|
|
|
03.11-remove_rows_with_missing_values.mkv
|
MKV
|
27.7 MB
|
|
|
03.12-statistical_imputation.mkv
|
MKV
|
6 MB
|
|
|
03.13-mean_value_imputation.mkv
|
MKV
|
41.9 MB
|
|
|
03.14-simple_imputer_with_model_evaluation.mkv
|
MKV
|
21.3 MB
|
|
|
03.15-compare_different_statistical_imputation_strategies.mkv
|
MKV
|
25.3 MB
|
|
|
03.16-k-nearest_neighbors_imputation.mkv
|
MKV
|
44.4 MB
|
|
|
03.17-knnimputer_and_model_evaluation.mkv
|
MKV
|
34.3 MB
|
|
|
03.18-iterative_imputation.mkv
|
MKV
|
37.6 MB
|
|
|
03.19-iterativeimputer_and_model_evaluation.mkv
|
MKV
|
18.4 MB
|
|
|
03.20-iterativeimputer_and_different_imputation_order.mkv
|
MKV
|
23 MB
|
|
|
04.01-feature_selection_introduction.mkv
|
MKV
|
203.1 MB
|
|
|
04.02-feature_selection_defined.mkv
|
MKV
|
11.9 MB
|
|
|
04.03-statistics_for_feature_selection.mkv
|
MKV
|
104.3 MB
|
|
|
04.04-loading_a_categorical_dataset.mkv
|
MKV
|
27.6 MB
|
|
|
04.05-encode_the_dataset_for_modelling.mkv
|
MKV
|
25 MB
|
|
|
04.06-chi-squared.mkv
|
MKV
|
17.5 MB
|
|
|
04.07-mutual_information.mkv
|
MKV
|
18.2 MB
|
|
|
04.08-modeling_with_selected_categorical_features.mkv
|
MKV
|
37.4 MB
|
|
|
04.09-feature_selection_with_anova_on_numerical_input.mkv
|
MKV
|
41.8 MB
|
|
|
04.10-feature_selection_with_mutual_information.mkv
|
MKV
|
18.2 MB
|
|
|
04.11-modeling_with_selected_numerical_features.mkv
|
MKV
|
26 MB
|
|
|
04.12-tuning_a_number_of_selected_features.mkv
|
MKV
|
38 MB
|
|
|
04.13-select_features_for_numerical_output.mkv
|
MKV
|
22.7 MB
|
|
|
04.14-linear_correlation_with_correlation_statistics.mkv
|
MKV
|
26.2 MB
|
|
|
04.15-linear_correlation_with_mutual_information.mkv
|
MKV
|
29.4 MB
|
|
|
04.16-baseline_and_model_built_using_correlation.mkv
|
MKV
|
35.7 MB
|
|
|
04.17-model_built_using_mutual_information_features.mkv
|
MKV
|
11.4 MB
|
|
|
04.18-tuning_number_of_selected_features.mkv
|
MKV
|
54.7 MB
|
|
|
04.19-recursive_feature_elimination.mkv
|
MKV
|
176.6 MB
|
|
|
04.20-rfe_for_classification.mkv
|
MKV
|
51 MB
|
|
|
04.21-rfe_for_regression.mkv
|
MKV
|
26.2 MB
|
|
|
04.22-rfe_hyperparameters.mkv
|
MKV
|
32.6 MB
|
|
|
04.23-feature_ranking_for_rfe.mkv
|
MKV
|
29.6 MB
|
|
|
04.24-feature_importance_scores_defined.mkv
|
MKV
|
187.2 MB
|
|
|
04.25-feature_importance_scores_linear_regression.mkv
|
MKV
|
35.1 MB
|
|
|
04.26-feature_importance_scores_logistic_regression_and_cart.mkv
|
MKV
|
36.5 MB
|
|
|
04.27-feature_importance_scores_random_forests.mkv
|
MKV
|
17 MB
|
|
|
04.28-permutation_feature_importance.mkv
|
MKV
|
28.4 MB
|
|
|
04.29-feature_selection_with_importance.mkv
|
MKV
|
42.4 MB
|
|
|
05.01-scale_numerical_data.mkv
|
MKV
|
11.1 MB
|
|
|
05.02-diabetes_dataset_for_scaling.mkv
|
MKV
|
23 MB
|
|
|
05.03-minmaxscaler_transform.mkv
|
MKV
|
24.3 MB
|
|
|
05.04-standardscaler_transform.mkv
|
MKV
|
28.5 MB
|
|
|
05.05-robust_scaling_data.mkv
|
MKV
|
42.5 MB
|
|
|
05.06-robust_scaler_applied_to_dataset.mkv
|
MKV
|
22.6 MB
|
|
|
05.07-explore_robust_scaler_range.mkv
|
MKV
|
14.9 MB
|
|
|
05.08-nominal_and_ordinal_variables.mkv
|
MKV
|
301.6 MB
|
|
|
05.09-ordinal_encoding.mkv
|
MKV
|
17 MB
|
|
|
05.10-one-hot_encoding_defined.mkv
|
MKV
|
3.7 MB
|
|
|
05.11-one-hot_encoding.mkv
|
MKV
|
17.3 MB
|
|
|
05.12-dummy_variable_encoding.mkv
|
MKV
|
17.5 MB
|
|
|
05.13-ordinal_encoder_transform_on_breast_cancer_dataset.mkv
|
MKV
|
45.7 MB
|
|
|
05.14-make_distributions_more_gaussian.mkv
|
MKV
|
8.9 MB
|
|
|
05.15-power_transform_on_contrived_dataset.mkv
|
MKV
|
21.3 MB
|
|
|
05.16-power_transform_on_sonar_dataset.mkv
|
MKV
|
29 MB
|
|
|
05.17-box-cox_on_sonar_dataset.mkv
|
MKV
|
31.8 MB
|
|
|
05.18-yeo-johnson_on_sonar_dataset.mkv
|
MKV
|
26 MB
|
|
|
05.19-polynomial_features.mkv
|
MKV
|
152.9 MB
|
|
|
05.20-effect_of_polynomial_degrees.mkv
|
MKV
|
19.2 MB
|
|
|
06.01-transforming_different_data_types.mkv
|
MKV
|
23.4 MB
|
|
|
06.02-the_columntransformer.mkv
|
MKV
|
28.2 MB
|
|
|
06.03-the_columntransformer_on_abalone_dataset.mkv
|
MKV
|
35.3 MB
|
|
|
06.04-manually_transform_target_variable.mkv
|
MKV
|
24.5 MB
|
|
|
06.05-automatically_transform_target_variable.mkv
|
MKV
|
54.4 MB
|
|
|
06.06-challenge_of_preparing_new_data_for_a_model.mkv
|
MKV
|
246.9 MB
|
|
|
06.07-save_model_and_data_scaler.mkv
|
MKV
|
40.4 MB
|
|
|
06.08-load_and_apply_saved_scalers.mkv
|
MKV
|
17.9 MB
|
|
|
07.01-curse_of_dimensionality.mkv
|
MKV
|
14.3 MB
|
|
|
07.02-techniques_for_dimensionality_reduction.mkv
|
MKV
|
97.5 MB
|
|
|
07.03-linear_discriminant_analysis.mkv
|
MKV
|
19.3 MB
|
|
|
07.04-linear_discriminant_analysis_demonstrated.mkv
|
MKV
|
49.1 MB
|
|
|
07.05-principal_component_analysis.mkv
|
MKV
|
59.7 MB
|
|
|
1. FreeCoursesOnline.Me Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url
|
URL
|
307.2 B
|
|
|
3. FTUApps.com Download Cracked Developers Applications For Free.url
|
URL
|
204.8 B
|
|
|
Exercises Files.zip
|
ZIP
|
304.4 KB
|
|
|
For $3, Get Anything Official like Windows 11 keys + Microsoft Office 365 Accounts! Hurry! Limited Time Offer.url
|
URL
|
1.8 KB
|
|
|
How you can help our Group!.txt
|
TXT
|
204.8 B
|
![PacktPub | Data Cleansing Master Class in Python [Video] [FCO]](/static/img/no-torrent-image.png "PacktPub | Data Cleansing Master Class in Python [Video] [FCO]")
