Cholesky decomposition is used to decompose a symmetric positive definite matrix into an upper triangle and a lower triangular matrix product, which can be used to solve the regression coefficients and solve the linear equations. Stepwise regression is an effective method for variable selection in the modeling process of regression analysis. The effect of both forward and backward regression is more significant at the same time.

cholesky\cholesky.ipynb
cholesky\step.ipynb
cholesky

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