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 features labelencoder normalization onehot-encoding ordinal-encoding outlier-detection outlier-removal outliers sklearn standardization

Last synced: 4 days 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 (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-08-14T19:38:06.000Z (3 months ago)
• Last Synced: 2024-08-14T21:48:04.525Z (3 months ago)
• Topics: datapreprocessing, feature-scaling, feature-selection, features, labelencoder, normalization, onehot-encoding, ordinal-encoding, outlier-detection, outlier-removal, outliers, sklearn, standardization
• Language: Jupyter Notebook
• Homepage:
• Size: 1.7 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Data-pre-processing

Data preprocessing is a data mining technique that is used to transform the raw data into a useful and efficient format.