LINEAR REGRESSION explained under 45 SECONDS
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LINEAR REGRESSION explained under 45 SECONDS
linear regression, linear regression tutorial, linear regression machine learning, machine learning, machine learning for beginners, data science, data analytics, regression analysis, supervised learning, artificial intelligence, ai, predictive analytics, statistics, python, python machine learning, data scientist, machine learning algorithms ...
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Linear regression is a statistical method used to describe the relationship between two variables by fitting a straight line through observed data points. Typically, one variable is treated as the explanatory variable (x) and the other as the response variable (y). The goal is to find the line that best represents how changes in the explanatory variable are associated with changes in the response variable. This line is often written in the form y = mx b, where m represents the slope of the line
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