Course Content
1: Introduction
2: Python for data analysis
3: Python for data visualization
4: Linear Regression
5: K Nearest Neighbors
6: Comparing different classification models
7: K Means Clustering
8: Unsupervised Learning
9: Project 1
10: Project 2
11: Project 3
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