https://github.com/tawfikhammad/data-cleaning-tutorial
In this repo you will know how to deal with outliers, skewness, inconsistency, parsing dates, handle missing values with different techniques, and deal with different datatypes of data (e.g. numerical data and catogrical data)
https://github.com/tawfikhammad/data-cleaning-tutorial
data-cleaning data-transformation imputation-methods inconsistency outlier-detection parsing processing
Last synced: about 14 hours ago
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In this repo you will know how to deal with outliers, skewness, inconsistency, parsing dates, handle missing values with different techniques, and deal with different datatypes of data (e.g. numerical data and catogrical data)
- Host: GitHub
- URL: https://github.com/tawfikhammad/data-cleaning-tutorial
- Owner: tawfikhammad
- Created: 2023-10-01T00:26:59.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-05-16T18:58:02.000Z (about 1 year ago)
- Last Synced: 2025-06-14T17:42:48.532Z (12 months ago)
- Topics: data-cleaning, data-transformation, imputation-methods, inconsistency, outlier-detection, parsing, processing
- Language: Jupyter Notebook
- Homepage:
- Size: 2.39 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE