Linear Regression

Linear-Regression

Linear regression is a fundamental statistical method used in machine learning and data analysis to model the relationship between a dependent variable and one or more independent variables. It aims to predict continuous outcomes by fitting a linear equation to observed data. The simplest form, simple linear regression, involves a single independent variable, while multivariable regression incorporates multiple predictors. The model is characterized by its constant slope, allowing for straightforward interpretation of how changes in the independent variables affect the dependent variable. This technique is widely applied in various fields, including finance, marketing, and social sciences, for tasks such as forecasting and trend analysis.

Analytics Vidhya

Linear regression is a regression model which tries to predict the relationship between the dependent variable Y and independent variable X in a linear fashion. Eg: Stock prediction, Insurance amount…...

Linear Regression

Machine Learning Glossary

Linear Regression Introduction Simple regression Making predictions Cost function Gradient descent Training Model evaluation Summary Multivariable regression Growing complexity Normalization Making pr...

Assumptions of Linear Regression

Analytics Vidhya

Linear Regression is a standard technique used for analyzing the relationship between two variables. It is a model that assumes a linear relationship between the input variables (x) and the single…

Linear Regression — Part I

Analytics Vidhya

Linear Regression is a linear approach to model the relationship between a two or more variables by fitting a straight line i.e. linear, to predict the output for the given input data. To research…

Linear Regression

Christophm Interpretable Machine Learning Book

A linear regression model predicts the target as a weighted sum of the feature inputs. The linearity of the learned relationship makes the interpretation easy. Linear regression models have long been ...

Linear Regression Deep Dive

Analytics Vidhya

Linear Regression is one of the simplest and widely used models for regression modeling. It is models the relationship between a continuous, dependent variable Y and independent variable(s) X by…

Linear Regression from Scratch

Towards AI

Linear Regression is a statistical model and a supervised algorithm; we use it to predict linear value, this means that we try to fit a line along with our data and predict the independent variable…

Linear Regression Simplified - Ordinary Least Square vs Gradient Descent

Towards Data Science

What is Linear Regression? Linear regression is a statistical method of finding the relationship between independent and dependent variables. Let us take a simple dataset to explain the linear…

Linear Regression in Python

Towards Data Science

Linear regression is a statistical method used to model the linear relationship between a response variable and an explanatory variable. The regression function describes the expectation of a…

Linear Regression in Machine Learning

Python in Plain English

1\. Introduction to Linear Regression 1.1. Definition of Linear Regression Linear regression is a fundamental algorithm in machine learning and statistics. It’s a type of predictive modelling techniq...

Linear Regression Analysis

Codecademy

In sklearn, Linear Regression Analysis is a machine learning technique used to predict a dependent variable based on one or more independent variables, assuming a linear relationship. In simple linear...

Understanding Linear Regression

Analytics Vidhya

In the Machine Learning world, Linear Regression is a kind of parametric regression model that makes a forecast by taking the weighted normal of the independent features or variables of certain…