Module providing functions to perform linear and quadratic regression on multivariate data.

Objectives: 1) Design a KNN algorithm using R, 2) Summarize classification performance using KNN, linear/quadratic regression and Bayes rule. Training and test data are generated from a bi-variate Gaussian mixture model.

I created an Algorithm in processing to visualize the quadratic regression. But I used gradient descent as a gate way to machine learning.

linear regression, linear interpolation, quadratic interpolation, quadratic regression in javafx

Stratified Sampling and Quadratic Regression to investigate the Impact of Severity Types and Nitrogen Level on Gudgrass Growth

An exercise on Linear and Polynomial Regression.

Traditional Regression problem project in Python

Traditional Regression problem project in R

Simple C program to obtain least squares solution using concepts of linear algebra

A library including collection of methods for performing element search in ordered tables

Final Ironhack project: an analysis of the Lionel Messi era at Barcelona - Analysis of Messi's season-by-season output / Using regression to predict Messi's future output / Using Machine learning to predict if a shot will result in a goal or not.

A mind-controlled drone that plays quidditch with other drones (cv stack)