Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Column Transformer And Pipielining		Column Transformer And Pipielining
EDA		EDA
Encoding Categorical Data(Ordinal Encoding Label Encoding One Hot Encoding)		Encoding Categorical Data(Ordinal Encoding Label Encoding One Hot Encoding)
Encoding Numerical Data(Binarizatin Discritization		Encoding Numerical Data(Binarizatin Discritization
Feature Construction and Splitting		Feature Construction and Splitting
Handling Missing Data (IMputation Techniques and CCA)		Handling Missing Data (IMputation Techniques and CCA)
Outlier Detection and removal(Z-score Percentile and winsorization		Outlier Detection and removal(Z-score Percentile and winsorization
Pandas and numpy		Pandas and numpy
Principal Component Analysis		Principal Component Analysis
Scalling NUmerical Data(Standardization Normalization Function Transformer Power Transformer)		Scalling NUmerical Data(Standardization Normalization Function Transformer Power Transformer)
Understanding your data(csv and json files)		Understanding your data(csv and json files)
handling dates and mixed information data		handling dates and mixed information data
LICENSE		LICENSE
README.md		README.md

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Feature-Engineering

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This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.

standardization feature-engineering principal-component-analysis binarization z-score normalisation onehot-encoding simpleimputer ordinal-encoding labelencoder knn-imputer winsorization iterative-imputer percentile-method discritisation mean-median-imputation frequent-value-imputation

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