Housing price prediction using Regularised linear regression

The normal equations for simple linear regression are a system of two linear equations used to find the optimal intercept and slope that minimize the sum of squared residuals. They are derived from the ordinary least squares (OLS) method and can be expressed in scalar or matrix form.Solver

⭐️ Multivariate Linear Regression with Normal Equation in JavaScript (Vectorized)

Multiple Linear Regression (MLR) models the linear relationship between a continuous dependent variable and two or more independent (explanatory) variables. Using the equation, it predicts outcomes based on multiple factors. Key assumptions include linearity, constant variance of residuals, and low correlation between independent variables.Solver

Machine Learning Notebooks

Linear Regression - C

My solutions to AUT Applied Linear Algebra course programming assignments

This repository contains a Python implementation of Normal Linear Regression, a supervised machine learning algorithm used for predicting numeric values based on a linear relationship between input features and the target variable.

Predicting the box office results of a movie using Linear Regression based on a series of factors.

First homework of the course Mathematics for Machine Learning, which belongs to Master's Dregree in Applied Maths from the National University of Colombia. It is about least square problem applied to linear and non-linear models in the study of bitcoin time series and its relation with commodity prices, also it's presented an interesting applica…

Predicting house prices using regression methods including Gradient Descent, Normal Equation and KNN

Linear Algebra projects of Spring 2021 at CE AUT

Attempt to use Machine Learning to predict natural gas consumption for domestic needs

Data Analysis and Machine Learning on Concrete Strength

The First AI Summer School Project

This repository contains code for House Price prediction using Linear Regression. This project is based on the dataset that can be found through Tehran (Divar.ir) House Price Prediction thanks to Dr. Soheil Tehranipour who has done a very excellent job in the area of AI and ML.

Elementary Numerical Algorithms.

This is an example of Linear Regression done in SparkML and using the class PolynomialExpansion.

Python implementation of couple machine learning algorithms.