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

That said, much real-life data is mostly linearly separable, and in such situations logistic regression can work well. Logistic regression can in principle be modified to handle problems where 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.

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

Research on multiple comparison during the past 50 years or so has focused mainly on the comparison of several population means. Several years ago, Spurrier considered the multiple comparison of ...

In this paper, we consider the problem of determining the number of structural changes in multiple linear regression models via group fused Lasso. We show that with probability tending to one, our ...