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Data Cleaning and Preprocessing
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seven viog yevale
3 posts
Jan 28, 2025
12:22 AM
Best Practices for Data Cleaning and Preprocessing
Understand the Data:
Perform exploratory data analysis (EDA) to understand the structure, distribution, and issues in the data.
Document Changes:
Keep track of all preprocessing steps for reproducibility.
Collaborate with Domain Experts:
Gain insights into the data’s context to make informed decisions.
Iterate as Needed:
Data cleaning is not a one-time process; revisit steps as new issues arise.

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Last Edited by seven viog yevale on Jan 28, 2025 12:22 AM
james
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Jan 28, 2025
11:44 PM
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