Linear Regression
The Foundation of Predictive Modeling
, Introduction
Linear Regression is a supervised learning algorithm used to predict continuous
outcomes by modeling the relationship between dependent and independent variables.
➢ Common applications: Predicting house prices, stock trends, sales forecasting, etc.
➢ On Larger Note in LR we always looking for a best fit line.
,Types of Linear Regression:
➢ Simple Linear Regression
➢ Multiple Linear Regression:
,
The Foundation of Predictive Modeling
, Introduction
Linear Regression is a supervised learning algorithm used to predict continuous
outcomes by modeling the relationship between dependent and independent variables.
➢ Common applications: Predicting house prices, stock trends, sales forecasting, etc.
➢ On Larger Note in LR we always looking for a best fit line.
,Types of Linear Regression:
➢ Simple Linear Regression
➢ Multiple Linear Regression:
,
