多元自适应回归样条（Multivariate Adaptive Regression Splines, MARS）是Jerome Friedman于1991年提出的一种非参数回归技术。该方法专门用于建模预测变量集合与目标变量之间的复杂非线性关系，无需预先确定具体的函数形式。本文将深入探讨MARS算法的核心原理，并详细阐述其在时间序列预测任务中的应用策略与技术实现。

Renaming isn’t required, but it is commonplace (and this is how it’s done in the Matplotlib documentation). We’ve seen this syntax before—using as to give a name to an object without using the ...

Data visualization is an effective tool for converting complex datasets into clear and understandable visual formats. Data visualization is crucial in data analysis so that analysts, researchers, and ...

This project is all about Matplotlib, the basic data visualization tool of Python programming language. In this project, I have discussed Matplotlib, its object hierarchy, various plot types with ...