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.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Ordinary linear regression (OLR) assumes that response variables are ... When should we use them? How GLM works. Categorical data analysis, including contingency table analysis, measures of ...

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 ...

In recent columns we showed how linear ... is categorical, a common approach is to use logistic regression, a method that takes its name from the type of curve it uses to fit data.

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

GENMOD uses maximum likelihood estimation to fit generalized linear models. This family includes models for categorical data such as logistic, probit, and complementary log-log regression for binomial ...