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9 changes: 4 additions & 5 deletions python_scripts/03_categorical_pipeline.py
Original file line number Diff line number Diff line change
Expand Up @@ -32,11 +32,10 @@
#
# ## Identify categorical variables
#
# As we saw in the previous section, a numerical variable is a
# quantity represented by a real or integer number. These variables can be
# naturally handled by machine learning algorithms that are typically composed
# of a sequence of arithmetic instructions such as additions and
# multiplications.
# As we saw in the previous section, a numerical variable is a quantity
# represented by a continous or integer number. These variables can be naturally
# handled by machine learning algorithms that are typically composed of a
# sequence of arithmetic instructions such as additions and multiplications.
#
# In contrast, categorical variables have discrete values, typically
# represented by string labels (but not only) taken from a finite list of
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