For maschine learning typically numeric data is required. In Practice data of spreadsheets is both
numeric and non-numeric.
This projects provides a python fit() transform() like class
to convert a general mixed data frame into a purely numeric one suitable for maschine learning algorithms.
One-Hot (with the most frequent values) and LabelEncoder like transformation of non-numeric columns is offered. If not specified, automatic inspection of the columns takes place.
Features
- easy to use
- adheres to the fit() transform() type Transformer concept
Project Samples
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