Linear Regression | Complete and Easy | Step by Step Learning
Channel: Decision Artz
Date: 2023-04-02

Linear regression is one of the most fundamental and popular algorithms used in Machine learning. It is a statistical method used to predict a continuous dependent variable (y) from one or more independent variables (x). The linear regression model assumes that the relationship between the dependent and independent variables is linear, meaning that the change in one variable is associated with the same change in the other.

Linear regression is used to identify the relationship between variables, to determine the strength of the relationship, and to forecast future values. It is also used to discover hidden trends in data and to compare different sets of data.At our place, you will learn about the underlying assumptions of linear regression, the various types of linear models and how to interpret the results of linear regression. 

You will learn how to use linear regression to make predictions and to evaluate the performance of a model.
Finally, you will also learn about the various techniques used to assess the accuracy of linear regression models, such as model selection, cross-validation, and regularization. 
With our guidance and support, you will gain the confidence to apply linear regression to your own data and projects.