Simple-Decision-Tree-Algorithm-Python

A simple python script that implements Decision Tree Algorithm and classify on a very small test data set

Why Decision trees?

We have couple of other algorithms there, so why do we have to choose Decision trees?? well, there might be many reasons but I believe a few which are

• Decision tress often mimic the human level thinking so its so simple to understand the data and make some good interpretations.
• Decision trees actually make you see the logic for the data to interpret.

So what is the decision tree??

A decision tree is a tree where each node represents a feature(attribute), each link(branch) represents a decision(rule) and each leaf represents an outcome(categorical or continues value). The whole idea is to create a tree like this for the entire data and process a single outcome at every leaf(or minimize the error in every leaf).

Pre-requisites

Anaconda Python & Jupyter Notebook

One must have Python installed in his local system. Use jupyter notebook to run this script.
Download Anaconda here