Skip to content

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.

Notifications You must be signed in to change notification settings

lauxpaux/HousingMarketPredictor

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

34 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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

About

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.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published