https://github.com/trilokida/data-pre-processing
Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.
https://github.com/trilokida/data-pre-processing
datapreprocessing feature-scaling feature-selection feature-transformation features function-transformer labelencoder normalization onehot-encoding ordinal-encoding outlier-detection outlier-removal outliers power-transformers sklearn standardization
Last synced: 3 months ago
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Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.
- Host: GitHub
- URL: https://github.com/trilokida/data-pre-processing
- Owner: TrilokiDA
- Created: 2019-12-17T06:24:55.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-08-14T19:38:06.000Z (10 months ago)
- Last Synced: 2025-01-17T03:16:49.652Z (5 months ago)
- Topics: datapreprocessing, feature-scaling, feature-selection, feature-transformation, features, function-transformer, labelencoder, normalization, onehot-encoding, ordinal-encoding, outlier-detection, outlier-removal, outliers, power-transformers, sklearn, standardization
- Language: Jupyter Notebook
- Homepage:
- Size: 1.7 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Data-pre-processing
Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.