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In this project we explore historical housing data and construct predictive modeling to predict housing prices with the hopes of capturing the decline in the current (2024) housing market.

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HousingMarketPredictor

In Progress...

Start Date: 2024-03-18
Authors: *Laura Cornejo Paulino * and Shreyas Chitransh

Introduciton

In this project we explore historical housing data and construct predictive modeling to predict housing prices with the hopes of capturing the decline in the current (2024) housing market.

The data can be found in the following location.

Data Dictionary

TBC

Summary

TBC

------------------------------------------------------------------------TECHNICAL README-------------------------------------------------------------------------

Welcome to the technicals folks! Here is the folder structure for running the project.

Directory Tree

.
├── .gitignore
├── Functions
│   └── stand_in.txt
├── Notebooks
│   ├── EDA_Yash.ipynb
│   └── property_data.ipynb
├── README.md
└── stand_in.yml

Environment (TBC)

You can create the environment for the project on gitbash (Windows) or Terminal (Mac) by downloading the project_name.yml from each project directory and running:

  • Using pip pip install -r project_name.yml

  • Using Conda conda create --name <env_name> --file project_name.yml

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In this project we explore historical housing data and construct predictive modeling to predict housing prices with the hopes of capturing the decline in the current (2024) housing market.

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