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Linear Regression vs Logistic Regression
Know the difference between linear regression & logistic regression & earn free online certificate.
What you learn in Linear Regression vs Logistic Regression ?
About this Free Certificate Course
Linear Regression is a predictive model used to find the linear relationship between a dependent variable and one or more independent variables. In contrast, Logistic Regression is a statistical method to model the probability for existing events. These are some of the most crucial predictive analysis algorithms. Whenever one wants to forecast or predict something, these regression algorithms are used for that purpose. This course on "Linear Regression vs Logistic Regression" will help you understand everything you need to know about this topic and learn them well. This course starts by explaining regression and its need, followed by understanding linear regression and logistic regression. Then we look at the differences between the two based on a variety of criteria, such as their applications, dependable variable types, output, working, threshold value, and so on.
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Course Outline
This module highlights Logistic Regresion which is also a part of Supervised Learning Classification Algorithm.
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