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  1. 1.1. Linear Modelsscikit-learn 1.7.2 documentation

    Despite its name, it is implemented as a linear model for classification rather than regression in terms of the scikit-learn/ML nomenclature. The logistic regression is also known in the …

  2. Python | Linear Regression using sklearn - GeeksforGeeks

    Jul 11, 2025 · This article is going to demonstrate how to use the various Python libraries to implement linear regression on a given dataset. We will demonstrate a binary linear model as …

  3. Sklearn Linear Regression: A Complete Guide with Examples

    Mar 5, 2025 · Learn about linear regression, its purpose, and how to implement it using the scikit-learn library. Includes practical examples.

  4. User Guide — scikit-learn 1.7.0 documentation - sklearn

    Jan 1, 2010 · Polynomial regression: extending linear models with basis functions.

  5. Linear Models | scikit-learn/scikit-learn | DeepWiki

    This document explains the linear models implementation in scikit-learn, covering both regression and classification algorithms with various regularization approaches. Linear models form a …

  6. Linear Regression in Python (sk-learn) - Data Science Discovery

    Linear Regression is one of the easiest to understand machine learning models, where Python will use the training data to find a "line of best fit" to predict the outcome.

  7. LinearRegression — scikit-learn 1.7.2 documentation

    LinearRegression fits a linear model with coefficients w = (w1, …, wp) to minimize the residual sum of squares between the observed targets in the dataset, and the targets predicted by the …

  8. Linear regression using scikit-learnScikit-learn course

    In this notebook, you saw how to train a linear regression model using scikit-learn.

  9. Linear Regression with scikit-learn: A Step-by-Step Guide

    Discover the fundamentals of linear regression and learn how to build linear regression and multiple regression models using the sklearn library in Python.

  10. Ordinary Least Squares Example — scikit-learn 1.6.0 documentation - sklearn

    This example shows how to use the ordinary least squares (OLS) model called LinearRegression in scikit-learn. For this purpose, we use a single feature from the diabetes dataset and try to …