Fix typos

streamlit_viz.py

@@ -1,3 +1,4 @@
+
 import joblib
 import time
 
@@ -225,7 +226,7 @@ I trained an ensemble of
 [Histogram-based Gradient Boosting Decision Trees](https://scikit-learn.org/stable/modules/ensemble.html#histogram-based-gradient-boosting)
  on some
 [data](https://research.unsw.edu.au/projects/unsw-nb15-dataset).
-That algoritm looks at its mistakes and tries to avoid those mistakes the next time around.
+That algorithm looks at its mistakes and tries to avoid those mistakes the next time around.
 
 To do that, it starts off with a decision tree.
 From there, it looks at the points that tree got wrong and makes another decision tree that tries
@@ -242,11 +243,11 @@ My model ends up with 10 trees.
 I've plotted the progression of those 10 trees as an animated series of interactive Plotly tree maps.
 The nodes are color-coded by which feature the decision tree used to make that split.
 
-I've also labeled each node with the feature name and the decison boundary.
+I've also labeled each node with the feature name and the decision boundary.
 If you click on a node, Plotly will show the path to that node in a banner at the top of the plot so you can see how a point ends up in the node you clicked.
 
 The numbers and letters in brackets like `[3.L]` refer to the parent node's position in a breadth-first traversal of the tree and whether the current node is a left or right child of that parent.
-Plotly unforunately plots everything flipped for some reason, so all the `R` nodes are on the left and vice versa.
+Plotly unfortunately plots everything flipped for some reason, so all the `R` nodes are on the left and vice versa.
 
 I recommend expanding the plot by clicking the arrows in the top right corner since Streamlit makes the plot really small.
 It takes a second to get going after you hit `Play`.
@@ -362,7 +363,7 @@ As far as I can tell, this poster `empet` is the only person in the world who un
 
   st.markdown('## Check out the data!')
   st.markdown("""
-This plot is similar to the plot above, but the slider here coordinates with a table to show the data I extracted to plot each tree.
+This plot is similar to the plot above, but the slider here coordinates with a table of the data I extracted to plot each tree.
 """)
 
   # This works the way I want
@@ -388,6 +389,9 @@ This plot is similar to the plot above, but the slider here coordinates with a t
   st.markdown("""
 This section is mostly just to warn you against making the same foolhardy decision to marry the innermost guts of SciKit-Learn to the sparsely documented world of Python Plotly animations.
 
+I'm glad it was challenging, though.
+I did go into this hoping for something more interesting than a donut plot.
+Maybe I'll think on the `value` and `gain` fields a bit and come up with a version 2.
 """)
 
 if __name__=='__main__':