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1. www.geeksforgeeks.org › regression-in-machine-learningRegression in machine learning - GeeksforGeeks

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   Feb 26, 2024 · Learn about regression, a statistical approach to predict numerical values based on input features. Explore different types, algorithms, terminologies, and examples of regression in machine learning.

   • Linear Regression

     Linear regression is a type of supervised machine learning...

2. www.javatpoint.com › regression-analysis-inRegression Analysis in Machine learning - Javatpoint

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   Learn how to use regression analysis to model the relationship between a dependent and independent variable in machine learning. Explore different types of regression, such as linear, logistic, polynomial, and support vector regression, with examples and applications.

3. builtin.com › data-science › regression-machine-learningRegression in Machine Learning: What It Is & Examples | Built In

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   • Evaluating a Regression Algorithm. Let’s say you’ve developed an algorithm which predicts next week's temperature. The temperature to be predicted depends on different properties such as humidity, atmospheric pressure, air temperature and wind speed.
   • Linear Regression. Linear regression finds the linear relationship between the dependent variable and one or more independent variables using a best-fit straight line.
   • Simple Linear Regression. Simple linear regression is one of the simplest (hence the name) yet powerful regression techniques. It has one input ($x$) and one output variable ($y$) and helps us predict the output from trained samples by fitting a straight line between those variables.
   • Multiple Linear Regression. This is similar to simple linear regression, but there is more than one independent variable. Every value of the indepen dent variable x is associated with a value of the dependent variable y. As it’s a multi-dimensional representation, the best-fit line is a plane.

4. www.geeksforgeeks.org › ml-linear-regressionLinear Regression in Machine learning - GeeksforGeeks

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   Mar 20, 2024 · Learn what linear regression is, how it works, and its types, assumptions, and applications. Find out how to implement linear regression in Python and regularize the model.

   • Video Duration: 16 min

5. www.pickl.ai › blog › regression-in-machine-learning15 Types of Regression Models in Machine Learning

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   • Linear Regression: Linear regression is used when the relationship between the dependent variable and the independent variables is assumed to be linear.
   • Multiple Linear Regression: Similar to linear regression, but it involves multiple independent variables. It is used when the response variable depends on more than one predictor variable.
   • Polynomial Regression: Polynomial regression is used when the relationship between the dependent and independent variables can be better approximated by a polynomial function rather than a straight line.
   • Ridge Regression (L2 Regularization): Ridge regression is used to handle multicollinearity (high correlation between predictors) in multiple linear regression.

6. machinelearningmastery.com › linear-regression-forLinear Regression for Machine Learning

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   Dec 6, 2023 · Learn the basics of linear regression, a statistical and machine learning algorithm for modeling the relationship between input and output variables. Explore the representation, learning methods, data preparation and applications of linear regression.

7. People also ask

   What is regression analysis in machine learning?

   • Regression analysis is a fundamental concept in the field of machine learning. It falls under supervised learning wherein the algorithm is trained with both input features and output labels. It helps in establishing a relationship among the variables by estimating how one variable affects the other.

   Regression in Machine Learning: What It Is & Examples | Built In

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   What is simple linear regression?

   • Linear regression shows the linear relationship between the independent variable (X-axis) and the dependent variable (Y-axis), hence called linear regression. If there is only one input variable (x), then such linear regression is called simple linear regression.

   Regression Analysis in Machine learning - Javatpoint

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   What is linear regression supervised machine learning?

   • Linear regression is a supervised machine learning algorithm that predicts a continuous target variable based on one or more independent variables. It assumes a linear relationship between the dependent and independent variables and uses a linear equation to model this relationship. Why do we use linear regression?

   Linear Regression in Machine learning - GeeksforGeeks

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   Is linear regression a machine learning algorithm?

   • As such, linear regression was developed in the field of statistics and is studied as a model for understanding the relationship between input and output numerical variables, but has been borrowed by machine learning. It is both a statistical algorithm and a machine learning algorithm.

   Linear Regression for Machine Learning

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8. www.machinelearningplus.com › machine-learningLinear Regression in Machine Learning – Clearly Explained

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   Learn what linear regression is and how it is used in machine learning and statistical modeling. This article covers the basics of linear regression, its applications, and its role in data science interviews.