Computes linear to 4-th order polynomial regressions on training data to find weight params and then compares training and test errors using these parameters. There is also an implementation of k-fold cross validation for the degree of the polynomail. It can be called multiple times with increasing degree to find the least error polynomial for the data. This helps with reducing the chance of overfitting data
-
Notifications
You must be signed in to change notification settings - Fork 0
DaniloVlad/Regressions
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Applying linear and polynomial regression for finding the best hyperparameters
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published