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Linear Regression
Linear regression is a method to find the straight line that best fits a set of data points. It helps us understand how one variable (dependent variable) changes as another variable (independent variable) changes. By estimating the slope and intercept of the line, we can make predictions and analyze the relationship between the variables.
A drugs dataset (Kaggle) was used with the columns as,
- age
- sex
- bmi
- children
- smoker
- region
- charges (y – dependent variable)
The dataset can be used to classify what were the medical costs billed by health insurance for a particular person. There are no classes in this since this is a regression method which means the output is a continuous value. (Learn more about regression)
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To learn more about Artificial Intelligence concepts, see Artificial Intelligence, Machine Learning, and Deep Learning..
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