In the example below, I use an e-commerce data set to build a regression ... If you want to go further in linear regression, check my Google Page Speed Insights OLS model. I’ve built my own ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

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. This can be a ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal. This post will show how to estimate and interpret linear ...

In this module, we will introduce generalized linear ... regression model. In this module, we will consider how to model count data. When the response variable is a count of some phenomenon, and when ...

"Logistic and Poisson Regression ... model building for categorical response data, specifically binary and count data. The most common way to analyze a binary response (Yes/No or 0/1 outcomes) is the ...