 
| PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Data Science and Machine Learning with Python and Libraries | ||
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|  1. Introduction | ||
|  10. k-Nearest Neighbors | ||
|  11. Simple Linear Regression | ||
|  12. Multiple Regression | ||
|  2. Visualizing the Data | ||
|  3. Linear Algebra | ||
|  4. Statistics | ||
|  5. Probability | ||
|  6. Hypothesis and Inference | ||
|  7. Gradient Descent | ||
|  8. Working with Data | ||
|  9. Machine Learning | ||