文件名称：Feature-Engineering
文件大小：3.52MB
文件格式：ZIP
更新时间：2024-04-09 06:17:49
JupyterNotebook
功能工程
【文件预览】：
Feature-Engineering-master
----10.7_Probability_ratio_encoding.ipynb(64KB)
----10.4_Count_or_frequency_encoding.ipynb(15KB)
----02.2_Categorical_variables.ipynb(74KB)
----15.2_Equal_width_discretisation.ipynb(245KB)
----09.1_Engineering_rare_values_1.ipynb(39KB)
----05.6_Arbitrary_value_imputation.ipynb(21KB)
----10.2_One_hot_encoding_variables_with_many_labels.ipynb(26KB)
----11.1_Engineering_mixed_variables.ipynb(64KB)
----05.4_Adding_a_variable_to_capture_NA.ipynb(39KB)
----03.5_Bonus_Machine_Learning_Algorithms_Overview.ipynb(429KB)
----15.4_Discretisation_with_Decision_Trees.ipynb(434KB)
----06.4_Adding_a_category_to_capture_NA.ipynb(39KB)
----12.1_Engineering_dates.ipynb(43KB)
----04.2_Linear_assumption.ipynb(339KB)
----07.2_Conclusion_when_to_use_each_NA_imputation_methods.ipynb(4KB)
----03.6_Bonus_Additional_reading_resources_on_variable_problems.ipynb(3KB)
----03.2_Outliers.ipynb(116KB)
----09.4_Engineering_rare_values.ipynb(61KB)
----10.5_Target_guided_ordinal_encoding.ipynb(57KB)
----16.2_Classification_I.ipynb(292KB)
----06.2_Random_sample_imputation.ipynb(98KB)
----10.10_Bonus_Additional_reading_resources.ipynb(2KB)
----13.3_Scaling_to_median_and_quantiles.ipynb(70KB)
----13.2_Scaling_to_minimum_and_maximum_values.ipynb(66KB)
----09.3_Engineering_rare_values_3.ipynb(44KB)
----03.1_Missing_values.ipynb(36KB)
----06.3_Adding_a_variable_to_capture_NA.ipynb(20KB)
----README.md(21B)
----04.4_Bonus_Additional_reading_resources.ipynb(2KB)
----05.2_Mean_and_median_imputation.ipynb(83KB)
----10.9_Comparison_of_categorical_variable_encoding.ipynb(71KB)
----10.8_Weight_of_evidence_WOE.ipynb(67KB)
----07.1_Bonus_Overview_of_missing_ value_imputation_methods.ipynb(372KB)
----02.3_Dates.ipynb(112KB)
----10.3_Ordinal_numbering_encoding.ipynb(15KB)
----05.1_Complete_Case_Analysis.ipynb(68KB)
----04.1_Variable_magnitude.ipynb(29KB)
----16.3_Regression.ipynb(786KB)
----10.1_One_hot_encoding.ipynb(44KB)
----13.1_Normalisation-Standarisation.ipynb(70KB)
----05.3_Random_sample_imputation.ipynb(117KB)
----15.5_Bonus_Additional_reading_resources.ipynb(2KB)
----05.5_End_of_distribution_imputation.ipynb(71KB)
----04.3_Variable_distribution.ipynb(180KB)
----02.1_Numerical_variables.ipynb(112KB)
----10.6_Mean_encoding.ipynb(56KB)
----15.3_Domain_knowledge_discretisation.ipynb(77KB)
----08.1_Top_coding_bottom_coding_and_zero_coding.ipynb(163KB)
----03.4_Rare_values.ipynb(323KB)
----14.1_Gaussian_transformations.ipynb(305KB)
----15.1_Equal_frequency_discretisation.ipynb(271KB)
----02.4_Mixed_variables.ipynb(21KB)
----02.5_Bonus_Learn_more_on_Lending_Club_dataset.ipynb(1KB)
----06.1_Frequent_category_imputation.ipynb(103KB)
----03.3_Labels.ipynb(44KB)
----09.2_Engineering_rare_values_2.ipynb(62KB)