Introduction in the gradient descent
A bit of theory: Suppose we just need to find a minimum of the one-dimensional function. As early as the 17th century Pierre de Fermat was invented a criterion that allowed solving simple optimization problems, namely, if x* is a minimum point of f*, then: This criterion is based on a linear approximation The closer x to ...
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Linear Regression with python and Scikit-learn
Scikit-learn is a wonderful software package for performing various computations in the field of machine learning. Let us consider the calculation of the linear regression. An equation Simple Linear Regression (SLR) have a view: SLR models also include the errors in the data or residuals (y - Y). Residuals are basically the differ...
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