A simple Linear Regression exercise
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Updated
Nov 22, 2017 - MATLAB
A simple Linear Regression exercise
This is an example of Linear Regression done in SparkML and using the class PolynomialExpansion.
Predicting the box office results of a movie using Linear Regression based on a series of factors.
Predicting house prices using regression methods including Gradient Descent, Normal Equation and KNN
Data Analysis and Machine Learning on Concrete Strength
Python implementation of couple machine learning algorithms.
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.
My solutions to AUT Applied Linear Algebra course programming assignments
Implemented linear regression from scratch using normal equations, and analyzed differences when compared to gradient descent approach
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A python implementation of Linear Regression (Gradient Descent and Normal Equation)
My Linear Regression Algorithm with Regularized Normal Equation
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…
Machine learning test project
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.
The First AI Summer School Project
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.
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