May 2020
Intermediate to advanced
530 pages
17h 8m
English
Consider an example of the real-world supervised ML algorithm called linear regression. In general, linear regression is an approach for modeling a target value (dependent value) based on an explanatory value (independent value). This method is used for forecasting and finding relationships between values. We can classify regression methods by the number of inputs (independent variables) and the type of relationship between the inputs and outputs (dependent variables).
Simple linear regression is the case where the number of independent variables is 1, and there is a linear relationship between the independent (x) and dependent (y) variable.
Linear regression is widely used in different areas, such as scientific ...
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