The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

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。

The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

Learn how to do time series regression using a neural network, with 'rolling window' data, coded from scratch, using Python.

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you ...