Implementation of KNN, Linear Regression, Random Forest, and Gaussian Process for the SARCOS data set in python.
In the basic directory, there are implementations of basic data science techniques. This consists of 3 files, covering the topics of data exploration, decision trees and linear regression.
Questions are posed and the solutions to these questions are written in the codeblocks.
The project directory consists four juypter notebook files, which implement the regression methods: KNN, Linear Regression, Random Forest, Gaussian Process.
There is also a file analysis.pdf which is an analysis of the various methods on the SARCOS dataset, and on toy problems.
Finally, the SARCOS dataset is included as sarcos_inv.txt, and can be found here.