Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...

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.

The Data Science Lab Regression Using PyTorch New Best Practices, Part 2: Training, Accuracy, Predictions Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices ...

In this article we study nonparametric regression quantile estimation by kernel weighted local linear fitting. Two such estimators are considered. One is based on localizing the characterization of a ...

Masha Kocherginsky, Xuming He, Yunming Mu, Practical Confidence Intervals for Regression Quantiles, Journal of Computational and Graphical Statistics, Vol. 14, No. 1 ...