├── EDA Automated Libraries ├── Autoviz │ └── autoviz.ipynb ├── Datasets │ ├── employee.csv │ └── titanic.csv ├── Dtale │ └── dtale.ipynb ├── Klib │ └── klib.ipynb ├── Pandas Profiling │ ├── output.html │ └── pandas-profiling.ipynb ├── Readme.md ├── Sweetviz │ ├── sweet_report.html │ └── sweetviz.ipynb └── Visual Analysis │ └── visual_analysis.ipynb ├── EDA Automation Project using Streamlit ├── .gitignore ├── README.md ├── diabetes.csv ├── main.py ├── requirements.txt ├── salaryData.csv └── setup.sh ├── EDA-and-Feature-Engineering ├── 1-EDA And Feature Engineering.ipynb ├── 2- BlackFriday EDA And Feature Engineering.ipynb ├── Black Friday │ ├── test.csv │ └── train.csv ├── Flight Prediction │ ├── Data_Train.xlsx │ ├── FlightPrediction.ipynb │ └── Test_set.xlsx ├── README.md └── Zomatodataset.zip ├── Feature-Engineering ├── 7 Days of Feature Engineering │ ├── Feature Engineering- Handling Categorical Feature- Day 3.ipynb │ ├── Feature Engineering- Handling Categorical Feature- Day 4.ipynb │ ├── Feature Engineering- MeanMedianDay 1.ipynb │ ├── Feature Engineering- Missing Values Day 2.ipynb │ ├── Feature Engineering- Missing Values Day 3.ipynb │ ├── Feature Engineering- Normalization And Standardization- Day 5.ipynb │ ├── Feature Selection-Day 7.ipynb │ ├── Forecasting Facebook FbProphet.ipynb │ ├── Outliers.ipynb │ ├── README.md │ ├── mercedes.csv │ ├── mobile_dataset.csv │ ├── monthly-milk-production-pounds.csv │ └── titanic.csv ├── Amazing Feature Engineering │ ├── .github │ │ └── workflows │ │ │ └── python-package.yml │ ├── .gitignore │ ├── 1_Demo_Data_Explore.ipynb │ ├── 2.1_Demo_Missing_Data.ipynb │ ├── 2.2_Demo_Outlier.ipynb │ ├── 2.3_Demo_Rare_Values.ipynb │ ├── 3.1_Demo_Feature_Scaling.ipynb │ ├── 3.2_Demo_Discretisation.ipynb │ ├── 3.3_Demo_Feature_Encoding.ipynb │ ├── 3.4_Demo_Feature_Transformation.ipynb │ ├── 3.5_Demo_Feature_Generation.ipynb │ ├── 4.1_Demo_Feature_Selection_Filter.ipynb │ ├── 4.2_Demo_Feature_Selection_Wrapper.ipynb │ ├── 4.3_Demo_Feature_Selection_Embedded.ipynb │ ├── 4.4_Demo_Feature_Selection_Feature_Shuffling.ipynb │ ├── 4.5_Demo_Feature_Selection_Hybrid_method.ipynb │ ├── A Short Guide for Feature Engineering and Feature Selection.md │ ├── A Short Guide for Feature Engineering and Feature Selection.pdf │ ├── README.md │ ├── data │ │ ├── housing.data.txt │ │ ├── pima-indians-diabetes.data.csv │ │ └── titanic.csv │ ├── data_exploration │ │ └── explore.py │ ├── feature_cleaning │ │ ├── missing_data.py │ │ ├── outlier.py │ │ └── rare_values.py │ ├── feature_engineering │ │ ├── discretization.py │ │ ├── encoding.py │ │ └── transformation.py │ ├── feature_selection │ │ ├── embedded_method.py │ │ ├── feature_shuffle.py │ │ ├── filter_method.py │ │ └── hybrid.py │ ├── images │ │ ├── 001.png │ │ ├── IV.png │ │ ├── box-cox.png │ │ ├── embedded.png │ │ ├── featuretools.png │ │ ├── filter.png │ │ ├── scaling.png │ │ ├── sphx_glr_plot_map_data_to_normal_001.png │ │ ├── workflow2.png │ │ └── wrapper.png │ └── output │ │ ├── Barplot_Pclass_Survived.png │ │ ├── Boxplot_Pclass_Fare.png │ │ ├── Corr_plot.png │ │ ├── Countplot_Pclass.png │ │ ├── Distplot_Fare.png │ │ ├── Heatmap.png │ │ ├── Scatter_plot_Fare_Pclass.png │ │ ├── describe.csv │ │ └── missing.csv ├── Feature Engineering for Machine Learning │ ├── .github │ │ └── FUNDING.yml │ ├── .gitignore │ ├── Datasets │ │ ├── AirQualityUCI_ready.csv │ │ ├── Readme.md │ │ ├── bag_of_words.csv │ │ ├── creditApprovalUCI.csv │ │ ├── loan.csv │ │ ├── sample_s2.csv │ │ └── titanic.csv │ ├── LICENSE │ ├── README.md │ ├── Section-03-Types-of-Variables │ │ ├── 1-Numerical-Variables.ipynb │ │ ├── 2-Categorical-Variables.ipynb │ │ ├── 3-Date-Time-Variables.ipynb │ │ └── 4-Mixed-Variables.ipynb │ ├── Section-04-Variable-Characteristics │ │ ├── 1-Missing-Data.ipynb │ │ ├── 2-Cardinality.ipynb │ │ ├── 3-Rare-Labels.ipynb │ │ ├── 5-Outliers.ipynb │ │ ├── 6-Linear-Model-Assumptions.ipynb │ │ └── 7-Variable-magnitude.ipynb │ ├── Section-05-Missing-Data-Imputation │ │ ├── 01-introduction │ │ │ ├── 01-Mean-Median-Imputation.ipynb │ │ │ ├── 02-Arbitrary-Value-Imputation.ipynb │ │ │ ├── 03-Frequent-Category-Imputation.ipynb │ │ │ ├── 04-Missing-Category-Imputation.ipynb │ │ │ └── 05-Missing-Indicator.ipynb │ │ ├── 02-pandas │ │ │ ├── 01-Mean-Median-Imputation.ipynb │ │ │ ├── 02-Arbitrary-Value-Imputation.ipynb │ │ │ ├── 03-Frequent-Category-Imputation.ipynb │ │ │ ├── 04-Missing-Category-Imputation.ipynb │ │ │ └── 05-Missing-indicator.ipynb │ │ ├── 03-sklearn │ │ │ ├── 01-Mean-Median-Imputation.ipynb │ │ │ ├── 02-Arbitrary-Value-Imputation.ipynb │ │ │ ├── 03-Frequent-Category-Imputation.ipynb │ │ │ ├── 04-Missing-Category-Imputation.ipynb │ │ │ ├── 05-MissingIndicator-Sklearn.ipynb │ │ │ └── 06-Grid-search.ipynb │ │ └── 04-feature-engine │ │ │ ├── 01-Mean-Median-Imputation.ipynb │ │ │ ├── 02-Arbitrary-Value-Imputation.ipynb │ │ │ ├── 03-Frequent-Category-Imputation.ipynb │ │ │ ├── 04-Missing-Category-Imputation.ipynb │ │ │ └── 05-Missing-Indicator.ipynb │ ├── Section-06-Imputation-Alternative │ │ ├── 01-introduction │ │ │ ├── 1-Complete-Case-Analysis.ipynb │ │ │ ├── 2-End-Distribution-Imputation.ipynb │ │ │ └── 3-Random-Sample-Imputation.ipynb │ │ ├── 02-pandas │ │ │ ├── 01-cca.ipynb │ │ │ ├── 02-End-Tail-Imputation.ipynb │ │ │ ├── 03-random-sample-imputation.ipynb │ │ │ └── 04-Mean-Median-per-group.ipynb │ │ └── 03-feature-engine │ │ │ ├── 01-cca.ipynb │ │ │ ├── 02-End-Tail-Imputation.ipynb │ │ │ └── 03--Random-Sample-Imputation.ipynb │ ├── Section-07-Multivariate-Imputation │ │ ├── 05.01-KNN-imputation.ipynb │ │ └── 05.02-MICE.ipynb │ ├── Section-08-Categorical-Encoding-Basic │ │ ├── 01-pandas │ │ │ ├── 01-One-hot-encoding.ipynb │ │ │ ├── 02-Ordinal-encoding.ipynb │ │ │ └── 03_Count-frequency-encoding.ipynb │ │ ├── 02-sklearn │ │ │ ├── 01-One-hot-encoding.ipynb │ │ │ └── 02-Ordinal-encoding.ipynb │ │ ├── 03-feature-engine │ │ │ ├── 01-One-hot-encoding.ipynb │ │ │ ├── 02-Ordinal-encoding.ipynb │ │ │ └── 03_Count-frequency-encoding.ipynb │ │ └── 04-category-encoders │ │ │ ├── 01-One-hot-encoding.ipynb │ │ │ ├── 02-Ordinal-encoding.ipynb │ │ │ └── 03_Count-frequency-encoding.ipynb │ ├── Section-09-Categorical-Encoding-Monotonic │ │ ├── 01-pandas │ │ │ ├── 01-Ordered-Ordinal-Encoding.ipynb │ │ │ ├── 02-Mean-Encoding.ipynb │ │ │ └── 03-Weight-of-Evidence.ipynb │ │ ├── 02-feature-engine │ │ │ ├── 01-Ordered-Ordinal-Encoding.ipynb │ │ │ ├── 02-Mean-Encoding.ipynb │ │ │ └── 03-Weight-of-Evidence.ipynb │ │ ├── 03-category-encoders │ │ │ ├── 02-Mean-Encoding.ipynb │ │ │ └── 03-Weight-of-Evidence.ipynb │ │ └── Comparison-categorical-encoding-techniques.ipynb │ ├── Section-10-Categorical-Encoding-Rare-Labels │ │ ├── 01-pandas │ │ │ ├── 01-ohe-frequent-categories.ipynb │ │ │ └── 02-Grouping-rare-categories.ipynb │ │ ├── 02-feature-engine │ │ │ ├── 01-ohe-frequent-categories.ipynb │ │ │ └── 02-Engineering-Rare-Categories.ipynb │ │ └── 03-sklearn │ │ │ └── 01-ohe-frequent-categories.ipynb │ ├── Section-11-Variable-Transformation │ │ ├── 01-numpy-scipy │ │ │ ├── 01-logarithmic-transformation.ipynb │ │ │ ├── 02-reciprocal-transformation.ipynb │ │ │ ├── 03-square-root-transformation.ipynb │ │ │ ├── 04-power-transformation.ipynb │ │ │ ├── 05-Box-Cox-transformation.ipynb │ │ │ ├── 06-Yeo-Johnson-transformation.ipynb │ │ │ └── 07-arcsin-transformation.ipynb │ │ ├── 02-sklearn │ │ │ ├── 01-logarithmic-transformation.ipynb │ │ │ ├── 02-reciprocal-transformation.ipynb │ │ │ ├── 03-square-root-transformation.ipynb │ │ │ ├── 04-power-transformation.ipynb │ │ │ ├── 05-Box-Cox-transformation.ipynb │ │ │ ├── 06-Yeo-Johnson-transformation.ipynb │ │ │ └── 07-arcsin-transformation.ipynb │ │ └── 03-feature-engine │ │ │ ├── 01-logarithmic-transformation.ipynb │ │ │ ├── 02-reciprocal-transformation.ipynb │ │ │ ├── 03-square-root-transformation.ipynb │ │ │ ├── 04-power-transformation.ipynb │ │ │ ├── 05-Box-Cox-transformation.ipynb │ │ │ ├── 06-Yeo-Johnson-transformation.ipynb │ │ │ └── 07-arcsin-transformation.ipynb │ ├── Section-12-Discretization-Basic │ │ ├── 01-pandas │ │ │ ├── 01-Equal-width-discretization.ipynb │ │ │ ├── 02-Equal-frequency-discretization.ipynb │ │ │ └── 03-Arbitrary-discretization.ipynb │ │ ├── 02-sklearn │ │ │ ├── 01-Equal-width-discretization.ipynb │ │ │ └── 02-Equal-frequency-discretization.ipynb │ │ └── 03-feature-engine │ │ │ ├── 01-Equal-width-discretization.ipynb │ │ │ ├── 02-Equal-frequency-discretization.ipynb │ │ │ ├── 03-Arbitrary-discretization.ipynb │ │ │ └── 04-Discretization-plus-encoding.ipynb │ ├── Section-13-Discretization-Other │ │ ├── 01-sklearn │ │ │ ├── 01-Discretization-with-kmeans.ipynb │ │ │ ├── 02-Discretization-using-decision-trees.ipynb │ │ │ └── 03-Binarization.ipynb │ │ └── 02-feature-engine │ │ │ └── 02-Discretization-using-decision-trees.ipynb │ ├── Section-14-Outlier-Engineering │ │ ├── 01-pandas │ │ │ ├── 01-Removing-outliers.ipynb │ │ │ └── 02-Capping-outliers.ipynb │ │ └── 02-feature-engine │ │ │ ├── 01-Removing-outliers.ipynb │ │ │ ├── 02-Capping-outliers.ipynb │ │ │ └── 03-Arbitrary-Capping.ipynb │ ├── Section-15-Date-Time-Features │ │ ├── 01-pandas │ │ │ ├── 01-Extracting-date-related-features.ipynb │ │ │ ├── 02-Extracting-time-related-features.ipynb │ │ │ └── 03-periodic-features.ipynb │ │ └── 02-feature-engine │ │ │ ├── 01-datetime-with-Feature-engine.ipynb │ │ │ └── 02-periodic-features.ipynb │ ├── Section-16-Mixed-Variables │ │ └── 01-mixed-variables.ipynb │ ├── Section-17-Feature-creation │ │ ├── 01-sklearn │ │ │ ├── 01-Combine-features-with-functions.ipynb │ │ │ ├── 02-Comparing-features-to-reference-variable.ipynb │ │ │ ├── 03-PolynomialExpansion.ipynb │ │ │ ├── 04-Combining-features-with-trees.ipynb │ │ │ └── 05-Spline-features.ipynb │ │ └── 02-feature-engine │ │ │ ├── 01-Combine-features-with-functions.ipynb │ │ │ └── 02-Comparing-features-to-reference-variable.ipynb │ ├── Section-18-Feature-Scaling │ │ ├── 01-Standardisation.ipynb │ 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