Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

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

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.

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model.

Next, we’ll illustrate how to implement panel data analysis in Python, using a built-in dataset on firms’ performance from the `linearmodels` library that follows from the example discussed above.

Estimation of finite population totals in the presence of auxiliary information is considered. A class of estimators based on penalised spline regression is proposed. These estimators are weighted ...

Nathan Mantel, Models for Complex Contingency Tables and Polychotomous Dosage Response Curves, Biometrics, Vol. 22, No. 1 (Mar., 1966), pp. 83-95 ...