Examples#

Encoding: from a dataframe to a numerical matrix for machine learning
Encoding: from a dataframe to a numerical matrix for machine learning

Various string encoders: a sentiment analysis example
Various string encoders: a sentiment analysis example

Handling datetime features with the DatetimeEncoder
Handling datetime features with the DatetimeEncoder

Spatial join for flight data: Joining across multiple columns
Spatial join for flight data: Joining across multiple columns

Interpolation join: infer missing rows when joining two tables
Interpolation join: infer missing rows when joining two tables
SquashingScaler: Robust numerical preprocessing for neural networks
SquashingScaler: Robust numerical preprocessing for neural networks
Skrub DataOps#
Introduction to machine-learning pipelines with skrub DataOps
Introduction to machine-learning pipelines with skrub DataOps
Multiples tables: building machine learning pipelines with DataOps
Multiples tables: building machine learning pipelines with DataOps
Usecase: developing locally, and avoiding to repeat code in production
Usecase: developing locally, and avoiding to repeat code in production