avkl/twinning

Data Twinning helps you partition your datasets into statistically similar subsets, even when they are of different sizes. This is crucial for developing robust statistical and machine learning models, as it provides optimal training and testing sets. You provide a dataset (like a spreadsheet or database table) as input, and it returns which rows belong to each statistically matched subset. Data scientists, machine learning engineers, and statisticians who build and validate models will find this useful.

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