Continue working on Statistical Learning - Week 2
Notes:
Notes:
- Intro to Nearest Neighbours and Linear Regression
- Nearest Neighbours modeling is cool but it has few disadvantages, for example, if the model has high dimensions then means that the principle of locality might be lost as you need to expand further and further in order to cover an area representative of local points.
- It was also explained trades off between using Linear Regression and Thin-plate splines, where Linear Models are:
- Way easier to interpret
- Explainability of predictors is simpler
- Accuracy is not great but it doesn't overfit as much as Thin-plate.