MNT fix typos in getting_started.rst
@@ -56,7 +56,7 @@ new data. You don't need to re-train the estimator::
Transformers and pre-processors
-------------------------------
-Machine learning worflows are often composed of different parts. A typical
+Machine learning workflows are often composed of different parts. A typical
pipeline consists of a pre-processing step that transforms or imputes the
data, and a final predictor that predicts target values.
@@ -77,7 +77,7 @@ Sometimes, you want to apply different transformations to different features:
the :ref:`ColumnTransformer<column_transformer>` is designed for these
use-cases.
-Pipelines: chaining pre-preocessors and estimators
+Pipelines: chaining pre-processors and estimators
--------------------------------------------------
Transformers and estimators (predictors) can be combined together into a
