## Support Vector Machine Intro and Application – Practical Machine Learning Tutorial with Python p.20

## Final thoughts on K Nearest Neighbors – Practical Machine Learning Tutorial with Python p.19

## Applying our K Nearest Neighbors Algorithm – Practical Machine Learning Tutorial with Python p.18

## Writing our own K Nearest Neighbors in Code – Practical Machine Learning Tutorial with Python p.17

## Creating Our K Nearest Neighbors Algorithm – Practical Machine Learning with Python p.16

## Euclidean Distance – Practical Machine Learning Tutorial with Python p.15

## K Nearest Neighbors Application – Practical Machine Learning Tutorial with Python p.14

## Classification w/ K Nearest Neighbors Intro – Practical Machine Learning Tutorial with Python p.13

## Testing Assumptions – Practical Machine Learning Tutorial with Python p.12

## Programming R Squared – Practical Machine Learning Tutorial with Python p.11

## R Squared Theory – Practical Machine Learning Tutorial with Python p.10

## How to program the Best Fit Line – Practical Machine Learning Tutorial with Python p.9

## How to program the Best Fit Slope – Practical Machine Learning Tutorial with Python p.8

## Pickling and Scaling – Practical Machine Learning Tutorial with Python p.6

## Regression forecasting and predicting – Practical Machine Learning Tutorial with Python p.5

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