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Contributing to skrub

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Getting Started
Encoding: from a dataframe to a numerical matrix for machine learning
Various string encoders: a sentiment analysis example
Handling datetime features with the DatetimeEncoder
Fuzzy joining dirty tables with the Joiner
Deduplicating misspelled categories
Wikipedia embeddings to enrich the data
Spatial join for flight data: Joining across multiple columns
AggJoiner on a credit fraud dataset
Interpolation join: infer missing rows when joining two tables

Skrub expressions

Examples
Skrub expressions

Skrub expressions#

Building complex tabular pipelines

Building complex tabular pipelines

Tuning pipelines

Tuning pipelines

Subsampling for faster development

Subsampling for faster development

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Building complex tabular pipelines

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