K = range(1,10)
sum_sq_dst = []
for k in K:
km = KMeans(n_clusters=k)
km = km.fit(normalized_data)
sum_sq_dst.append(km.inertia_)
plt.plot(K, sum_sq_dst, 'bx-')
plt.xlabel('No of Clusters')
plt.ylabel('Sum of squared distances')
plt.title('Elbow method for optimal K')
plt.show()
File "<ipython-input-85-2144fb2c9c87>", line 5
km = KMeans(n_clusters=k)
^
IndentationError: expected an indented block