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completed 2 clustering parts of unsupervised learning section

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Daniel Tomlinson
2019-07-25 00:12:04 +01:00
parent 9648dfe7db
commit 15dfbd5d91
23 changed files with 5877 additions and 0 deletions
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python/Unsupervised Learning/Clustering/test_file.py Normal file
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def display_gif(fn):
return '<img src="{}">'.format(fn)
def test_question_1(clusters):
if clusters == 4:
print("That's right! There are 4 clusters in this dataset.")
elif clusters < 4:
print("Oops! We were thinking there were actually more clusters than what you suggested. Try again. A cluster is a group of points that are closer together and separated from other points in the dataset.")
else:
print("Oops! We were thinking there were fewer clusters than what you suggested. Try again. A cluster is a group of points that are closer together and separated from other points in the dataset.")
def test_question_2(clusters):
if clusters == 2:
print("That's right! There are 2 clusters in this dataset.")
else:
print("Oops! That doesn't look like what we expected for the number of clusters. Try again. A cluster is a group of points that are closer together and separated from other points in the dataset.")
def test_question_3(clusters):
print("{} is a reasonable guess for a the number of clusters here. In the next question, you will see a different angle of this data.".format(clusters))
def test_question_4(clusters):
print("This data is actually the same as the data used in question 3. Isn't it crazy how looking at data from a different angle can make us believe there are a different number of clusters in the data! We will look at how to address this in the upcoming parts of this lesson.")
return display_gif('http://www.reactiongifs.com/wp-content/uploads/2013/03/mind-blown.gif')