Data Science, Linear Regression, Machine Learning, Python, Numpy.
the input feature • m is the slope of the line • b is the intercept In a more generalized form, we can represent the linear equation as follows: y = b0 + b1x1 + b2x2 + … + bnxn Where: • y is still the target variable • x1, x2, …, xn are the input features • b0 is the bias term (also known as the