https://github.com/pierrekieffer/datapreprocessing

Custom data preprocessing library made for machine learning
https://github.com/pierrekieffer/datapreprocessing

data-preparation data-preprocessing machine-learning preprocessing scikit-learn

Last synced: about 1 month ago
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Custom data preprocessing library made for machine learning

• Host: GitHub
• URL: https://github.com/pierrekieffer/datapreprocessing
• Owner: PierreKieffer
• Created: 2018-08-28T20:40:11.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2019-04-02T14:21:44.000Z (about 7 years ago)
• Last Synced: 2023-03-07T01:31:41.952Z (about 3 years ago)
• Topics: data-preparation, data-preprocessing, machine-learning, preprocessing, scikit-learn
• Language: Python
• Homepage:
• Size: 4.88 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# DataPreprocessing

This preprocessing library provides custom preprocessing functions to improve data preprocessing work for machine learning 

## Data loaders

## Features selection 

	- identify_missing : Find features with missing values 

	- identify_collinear : Find highly correlated features

	- identify_features_importance : Find most important features for classification

	- identify_single_value_features : Find single value features

## Data transformation

	- encode_data : transform object values to numericals

	- reverse_encode_data : back to object values

	- scale : scaling data

	- principal_components_analysis : transform features to (n) uncorrelated features