The goal of this project is to develop a machine learning model that predicts a person's salary based on their age. To accomplish this, we will employ a simple linear regression algorithm. Linear regression is a supervised learning technique used to establish a relationship between a dependent variable and one or more independent variables.
In our case, the dependent variable is the salary, while the independent variable is the age. We assume that there exists a linear relationship between age and salary, where changes in age can be used to predict changes in salary. By training a linear regression model on historical data, we aim to capture this relationship and make accurate predictions for future instances.