nadya-p
diff --git a/‎dev/_downloads/plot_cv_predict.py
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diff --git a/‎dev/_images/plot_agglomerative_clustering.png
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diff --git a/‎dev/_images/plot_agglomerative_clustering1.png
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@@ -17,7 +17,7 @@
 y = boston.target
 
 # cross_val_predict returns an array of the same size as `y` where each entry
-# is a prediction obtained by cross validated:
+# is a prediction obtained by cross validation:
 predicted = cross_val_predict(lr, boston.data, y, cv=10)
 
 fig, ax = plt.subplots()