Description: Normalize data is a function which scales the feature to allow for a higher model accuracy, and lower cost value. In this linear regression example we predict the prices of a house given ...

Discover how linear and logistic regression differ in data science applications, including when and how to use each model for accurate predictions. ...

Linear regression. Logistic regression. Outcome variable . Models continuous outcome variables. Models binary outcome variables. Regression line. Fits a straight line of best fit. Fits a non-linear ...

This project implements Linear Regression and Logistic Regression algorithms. It includes source code, datasets, and Jupyter notebooks for running and analyzing these implementations. project_root ├── ...

Linear regression operates under the assumption of a linear relationship between the dependent and independent variables, whereas logistic regression does not mandate such linearity.