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⭐️ Multivariate Linear Regression with Normal Equation in JavaScript (Vectorized)
Housing price prediction using Regularised linear regression
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.
Linear Algebra projects of Spring 2021 at CE AUT
Predicting house prices using regression methods including Gradient Descent, Normal Equation and KNN
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.
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 application in point set registration problem.
Predicting the box office results of a movie using Linear Regression based on a series of factors.
Data Analysis and Machine Learning on Concrete Strength
Attempt to use Machine Learning to predict natural gas consumption for domestic needs
This is an example of Linear Regression done in SparkML and using the class PolynomialExpansion.
This Notebook explains in detail the Normal Equation that is made use of in Linear Regression
Implemented linear regression from scratch using normal equations, and analyzed differences when compared to gradient descent approach
Estimating the sale prices of houses is one of the basic projects to start with the Machine Learning. After implementing this we will be able to predict continuous variables using Linear regression algorithm.
A python implementation of Linear Regression (Gradient Descent and Normal Equation)
Machine learning test project
Machine Learning Using MATLAB
My Linear Regression Algorithm using Normal Equation
My Linear Regression Algorithm with Regularized Normal Equation
Linear Regression with multiple variables is implemented to predict the prices of houses using the size of the house (in square feet) and the number of rooms as features. Suppose you are selling your house and you want to know what a good market price would be.
A simple Linear Regression exercise
Shopping behavior data analysis