Case study

The goal of this case study is to build a model for predicting the sale price of a house based on a particular home’s characteristics.

We will start with data exploration and afterwards demonstrate how to build regression models with different Python modules:

1. statsmodels

2. scikit-learn

Resources

• Reading: IMS 10

Data exploration

In November of 2020, information on 98 houses in the Duke Forest neighborhood of Durham, NC were scraped from the real estate marketplace Zillow. The homes were all recently sold at the time of data collection.

Let’s start with our data exploration:

Jupyter notebook

• Data exploration

Statsmodels

Linear regression with statsmodels:

Jupyter notebook

• Model: statsmodels

Scikit-learn

Linear regression with scikit-learn:

Jupyter notebook

• Model: scikit-learn