Sometimes one model isn’t enough. In this guide to ensemble models, I’ll walk you through how (and when) to use ensemble techniques for your machine learning models.
A neural network is a series of algorithms that identifies patterns and relationships in data, similar to the way the brain operates. Here's how they work.
Propensity score matching is a non-experimental causal inference technique. These are the five key steps when doing causal analysis with propensity score matching.
