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https://github.com/jaymax01/housing-price-forecasting

Time series modeling of US real estate housing prices
https://github.com/jaymax01/housing-price-forecasting

autoregressive-models colab-notebook data-visualization deep-learning feature-engineering google-cloud machine-learning python timeseries-forecasting

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Time series modeling of US real estate housing prices

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README

          

## Modeling US Housing Prices

*Brokerage firms provide their customers insights and information on making investment decisions and the real estate market is one of them. The aim of this project is to draw insights and to develop a reliable time series model to predict housing prices in the United States with the aim of helping investors with their investment decisions.*

For a full presentation and description of the project access the Modeling US Housing prices pdf file in the data files section above

## Project Outline

Data exploration and analysis

Feature engineering and data preprocessing

Model development and training

Model perfomance and evaluation

Model prediction

## Documentation

[Data source](https://www.redfin.com/news/data-center/)

[Metadata](https://docs.google.com/spreadsheets/d/1YNT5VfZTwSnUK7nqGAPGZUqOVBbsIC_M1vTgYCCLtVg/edit#gid=635767466)

[Pending sales dashboard](https://public.tableau.com/profile/maxwell.boafo#!/vizhome/Homesalesprices/pendingsales?publish=yes)

[Family home values dashboard](https://public.tableau.com/app/profile/maxwell.boafo/viz/Familyhomevalues/zipcode)

[Home sales prices dashboard](https://public.tableau.com/app/profile/maxwell.boafo/viz/Homesalesprices/salespricedist_)

## Installation

The libraries used for the project include the following
```
pandas
numpy
matplotlib
seaborn
statsmodel
keras
tensorflow
facebook prophet
```

![Logo](https://github.com/jaymax01/housing-price-forecasting/blob/main/screenshot-docs.google.com-2023.09.05-21_39_33.png?raw=true)