Linear Regression in Machine Learning

Introduction: Linear regression is a fundamental statistical technique that is used to model the relationship between a dependent variable and one or more independent variables. It is a simple but powerful method that is widely used in data analysis and machine learning. Linear regression has a wide range of applications, including forecasting, trend analysis, and predictive modeling. In this blog post, we will provide a comprehensive introduction to linear regression, including its concept, applications, and implementation using Python. Concept of Linear Regression: Linear regression is a statistical technique that is used to model the relationship between a dependent variable and one or more independent variables. The dependent variable is the variable that is being predicted or explained, while the independent variables are the variables that are used to make the prediction or explain the variation in the dependent variable. Linear regression assumes that the relationship betw...