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In this Linear vs Logistic Regression video you will understand about the difference between these two and which one should you use for better performance. So in this Linear vs Logistic Regression comparison some important parameters have been taken into consideration to tell you the difference between Linear and Logistic Regression & also which one is preferred over the other in certain aspects in detail.
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Why Linear Regression is important?
Linear regression is a basic and commonly used type of predictive analysis. Linear regression models are used to show or predict the relationship between two variables or factors.
Why Logistic Regression is important
Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable.
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