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Chapter 01 | Data Science
Chapter 02 | Experiments and Data
Chapter 03 | The Python Language
Chapter 04 | Importing and Manipulating Tabular Data
Chapter 05 | Descriptive Statistics
Chapter 06 | Data Visualization
Chapter 07 | Randomness and Sampling
Chapter 08 | Hypothesis Testing
Chapter 09 | Comparing means
Chapter 10 | Uncertainty
Chapter 11 | Linear models
Chapter 12 | Machine Learning
Chapter 13 | K Nearest Neighbors
Chapter 14 | Random Forests
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Chapter 13 | K Nearest Neighbors
