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Updated
Jan 2, 2025 - Jupyter Notebook
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categorical-data-encoding
Here are 2 public repositories matching this topic...
python data-science numpy scikit-learn exploratory-data-analysis pandas data-visualization data-analysis outlier-detection feature-engineering regression-models data-filtering data-imputation onehot-encoder matplotlib-pyplot simple-imputer categorical-data-encoding
This repository demonstrates data cleaning with a layoffs dataset. It covers handling missing values, detecting outliers, and encoding categorical data, using visualizations like boxplots and distplots to enhance data quality. Check out the code to see these techniques in action.
sklearn pandas data-visualization seaborn data-cleaning data-integrity missing-value-handling outlier-detection-and-removal categorical-data-encoding
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Updated
Sep 11, 2024 - Python
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