Clustering Project Read Me

Purpose

The Purpose of this project was to find what the biggest driver of log error was, and how to predict it

Hypothesis

• The tax value and location would be signifigant factors in log error
• The amount of people per county would determine how accurate the zestimate was, thus predicting log error

Pipeline

Aquire

Using a SQL query/ csv file to gather the data

Preparing

Cleaning and filtering the data

Exploring

Finding features and graphs that find corrolation

Model

Creating a model that would accuratly predict log error

File Dictonary

• env.py
• acquire.py
• prepare.py
• explore.py
• model.py
• split_scale.py
• working_notebook.ipynb
• david_explore.ipynb
• working_notebook.ipynb