BytesOfIntelligences/Different-Types-Of-Data-Preprocessing-Methods-With-Sudo-Code
View on GitHub ↗Related repositories →Data preprocessing involves cleaning and transforming raw data into a format that can be easily analyzed and modeled. This includes handling missing values, dealing with outliers, normalizing and scaling data, encoding categorical variables, and other tasks that improve data quality and enhance the accuracy of analytical models.
active 2023-10-19 → 2024-01-13 (UTC)
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Line chart, 87 days from 2023-10-19 to 2024-01-13. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 4 total, peak 1 in a day.
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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| BytesOfIntelligences | 2 | 2 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 4 stars here means stars gained during the window, not the repo's star count.