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Course Content


Regression problems are solved using linear regression, while classification problems are solved using logistic regression. Linear regression yields a continuous result, whereas logistic regression yields discrete results.

By estimating probabilities using a logistic regression equation, it is employed in statistical software to comprehend the relationship between the dependent variable and one or more independent variables. This form of analysis can assist you in predicting the chances of an occurrence or a decision occurring.

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