Syllabus Regression
- Regression-Intro and Data
- Regression-Feature and Labels
- Regression-Training and Testing
- Regression-Forcasting and Predicting
- Pickling and Scalling
- Regression-Theory and how it works
- Regression-How to program the Fit Slope
- Regression-How to program the Best Line
- Regression-R Squared and coefficient of Determination Theory
- Regression-How to Program R Squared
K Nearest Neighbors
- Creating Sample Data for Testing
- Classification intro with K Nearest Neighbors
- Applying K Nearest Neghbors to Data
- Euclidean Distance theory
- Creating a K Nearest Neighbors Classifier from scratch
- Testing our K Nearest Neighbors classifier
- Final thoughts on K Nearest Neighbors