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Feature Engineering -Missing Value-3.ipynb		Feature Engineering -Missing Value-3.ipynb
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README.md		README.md
car.csv		car.csv
house.csv		house.csv
train.csv		train.csv

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Feature_Engineering

Documentation

Documentation: http://feature-engine.readthedocs.io
Home page: https://www.trainindata.com/feature-engine

Current Feature-engine's transformers include functionality for:

Missing data imputation
Categorical variable encoding
Outlier removal
Discretisation
Numerical Variable Transformation

Imputing Methods

MeanMedianImputer
RandomSampleImputer
EndTailImputer
AddNaNBinaryImputer
CategoricalVariableImputer
FrequentCategoryImputer
ArbitraryNumberImputer

Encoding Methods

CountFrequencyCategoricalEncoder
OrdinalCategoricalEncoder
MeanCategoricalEncoder
WoERatioCategoricalEncoder
OneHotCategoricalEncoder
RareLabelCategoricalEncoder

Outlier Handling methods

Winsorizer
ArbitraryOutlierCapper
OutlierTrimmer

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