typos

episodes/02-image-basics.md

@@ -447,7 +447,7 @@ ax.imshow(three_colours, cmap="gray")
 
 ![](fig/grayscale.png){alt='Image in greyscale'}
 
-Above we have exactly the same underying data matrix, but in greyscale.
+Above we have exactly the same underlying data matrix, but in greyscale.
 Zero maps to black, 255 maps to white, and 128 maps to medium grey.
 Here we only have a single channel in the data and utilize a grayscale color map
 to represent the luminance, or intensity of the data and correspondingly

episodes/08-connected-components.md

@@ -610,7 +610,7 @@ The labels of the objects are also returned by `ski.measure.regionprops`.
 We have already seen that we can create boolean arrays using comparison operators.
 Here we can use `object_areas > min_area`
 to produce an array that has the same dimension as `object_labels`.
-It can then used to select the labels of objects whose area is
+It can then be used to select the labels of objects whose area is
 greater than `min_area` by indexing:
 
 ```python