Simple Linear Regression| Machine Learning| SNS Institutions

Simple Linear Regression in Machine Learning is a basic algorithm used to find the relationship between one independent variable and one dependent variable. It predicts the output by fitting a straight line that best represents the data points. The model follows a linear equation, typically written as y = mx + c, where m is the slope and c is the intercept. It is commonly used for forecasting and understanding trends in data. #snsinstitutions #snsdesignthinkers #designthinking