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.
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.
A python implementation of Linear Regression (Gradient Descent and Normal Equation)
My Linear Regression Algorithm with Regularized Normal Equation
Implemented linear regression from scratch using normal equations, and analyzed differences when compared to gradient descent approach
Machine Learning Using MATLAB
Machine learning test project
Shopping behavior data analysis
This Notebook explains in detail the Normal Equation that is made use of in Linear Regression
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.
My Linear Regression Algorithm using Normal Equation
Predicting house prices using regression methods including Gradient Descent, Normal Equation and KNN
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
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…
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