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Linear vs. Logistic Regression: What's the difference between the two?

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Linear Regression and Logistic regression are the most commonly used machine learning algorithms. In linear regression, the dependent variable is always in a continuous state to predict the continuous values. Logistic regression uses the categorical dependent variable to predict categorical values. If you want a certification in Data Science and pursue training based on Machine Learning Course, Intellipaat offers certification courses for both technologies. Also, to know more about Linear vs. Logistical Regression, do check out the below video:

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