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README.md
@@ -13,7 +13,7 @@ Session 2: Linear Regression (Theory, code from scratch, sklearn implementation)
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Session 3: Logistic Regression (Theory, Code from scratch, Concepts, Sklearn implementation)
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-Session 4:
+Session 4: Unsupervised Learning - K-Means Clustering (Theory, Code from scratch, Concepts, Sklearn implementation)
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http://stanford.edu/class/ee103/visualizations/kmeans/kmeans.html
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Incomplete README, completion after the session.
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