Archive - May 15, 2019

A decision tree can be used to visually and explicitly represent decisions and decision making. As the name goes, it uses a tree-like model of decisions In this post, these are the steps we are going to take to master just that Steps to understanding what is Decision Trees Overview of Decision Trees Some concepts that you need to understand that will aid in understanding logistic regression A basic explanation of Decision Trees Understanding maximum likelihood The bias-variance tradeoff in logistic regression Regularization in logistic regression How to evaluate a logistic regression function Overview of Decision Trees Let’s start with a simple explanation, A decision tree is a graphical representation of all the possible solutions to a decision based on certain conditions. It’s called a decision tree because it starts with a single box (or root), which then branches off into a number of solutions, just like a tree. For[…]