Machine Learning Day 10: Linear Regression Explained Simply
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Machine Learning Day 10: Linear Regression Explained Simply
Machine Learning Series – Day 10 In this video, we explain Linear Regression, one of the most fundamental algorithms in Machine Learning. Linear Regression is used to predict numerical values by finding the relationship between variables using a straight line. It is commonly used for predicting house prices, sales forecasting, and trend ...
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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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