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One of the simplest Machine learning algorithms out there, Linear Regression is used to make predictions on continuous dependent variables with knowledge from independent variables. A dependent variable is the effect, in which its value depends on changes in the independent variable. You may remember the line of best fit from school – this is what Linear Regression produces. A simple example is predicting one's weight depending on their height. Logistic Regression, similar to Linear Regression, is used to make predictions on categorical dependent variables with knowledge of independent variables.