# Gaussian-Process-regression-tutorial

**Repository Path**: wu-xiaoxiong/Gaussian-Process-regression-tutorial

## Basic Information

- **Project Name**: Gaussian-Process-regression-tutorial
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-09
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

A tutorial-style introduction to Gaussian Process (GP) regression. 
It comes with some example Gaussian Process code, written in Python, that is free and should be relatively easy to use. 
The code is by no-means optimised, rather, it is supposed to be easy to read and easy to understand for someone who is new to GP regression.