A Salary predictor machine learning model based on Linear Regression, can be used to predict the salaries of the employees based on their experiences.
Dataset consists of 30 entries of employess with the salaries based upon their experiences in years
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Training Set = 80% of total dataset = 24 entries
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Test Set = 20% of total dataset = 6 entries
Linear Regression is a machine learning algorithm based on supervised learning. It performs a regression task. Regression models a target prediction value based on independent variables. It is mostly used for finding out the relationship between variables and forecasting. Different regression models differ based on – the kind of relationship between dependent and independent variables, they are considering and the number of independent variables being used.
- Plot of Salary vs Experince for Training Data
- Plot of Salary vs Experince for Test Data
