In this project, I visualise, analyse (using R) and classify SDSS space dataset with decision trees, naīve bayes classifiers and k-nearest neighbours. Performed PCA dimensionality reduction techniques were performed as well before classifying dataset. Project report included in the pdf file.
-
Notifications
You must be signed in to change notification settings - Fork 0
In this project, I visualise, analyse (using R) and classify SDSS space dataset with decision trees, naīve bayes classifiers and k-nearest neighbours. Performed PCA dimensionality reduction techniques were performed as well before classifying dataset. Project report included in the pdf file.
WeiChuen99/Data-Modelling-and-Analysis-of-SDSS-Space-Dataset-in-R
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
In this project, I visualise, analyse (using R) and classify SDSS space dataset with decision trees, naīve bayes classifiers and k-nearest neighbours. Performed PCA dimensionality reduction techniques were performed as well before classifying dataset. Project report included in the pdf file.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published