However, linear regression projects can be affected by various sources of bias and unfairness, such as data quality, ... Design graphs that nail the math and feel right ethically.

Learn the best practices for selecting features in linear regression projects, such as exploratory data analysis, feature engineering, and feature selection.

Linear Regression can be further classified into two types – Simple and Multiple Linear Regression. In this project, I employ Simple Linear Regression technique where I have one independent and one ...

Duration: 12h. In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial ...

In this paper, we compare two contemporary approaches for multivariate regression on task-based fMRI data: linear regression with ridge regularization and non-linear symbolic regression using genetic ...

As part of my coursework at Stony Brook University, I was required to perform data analysis involving simple linear regression models. Here is one such project that demonstrates me making simple ...