Notes to Self
Linear Regression Polynomial Regression Logistic Regression Quantile Regression Ridge Regression Lasso Regression Elastic Net Regression Principal Components Regression (PCR) Partial Least Squares (PLS) Regression Support Vector Regression Ordinal Regression Poisson Regression Negative Binomial Regression Quasi Poisson Regression Cox Regression Tobit Regression
What is Data Scaling? Data scaling refers to the process of transforming numerical data from one scale or range to another. It is often used in machine learning and data analysis to normalize the input data before training a model or performing statistical analysis. The purpose of data scaling is to ensure that all features or […]
What is a propensity model? A propensity model is a statistical model that predicts the likelihood, or propensity, of a particular event or outcome occurring. Propensity models are often used in marketing and advertising to predict the likelihood that a customer will purchase a product or take a particular action, based on their past behavior […]