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Simplify Tabular Dataset Preparation with TabularPandas – CodeCut

Summary by codecut.ai
MotivationPreparing tabular datasets for machine learning often involves handling missing values, encoding categorical features, and normalizing continuous variables. This process can become cumbersome when using traditional tools like scikit-learn pipelines, as it requires manually defining and chaining preprocessing steps.For instance, using scikit-learn pipelines for preprocessing might look like this:import pandas as pd from sklearn.compose …
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codecut.ai broke the news in on Monday, March 31, 2025.
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