tytinkdev / real_estate_study

Analysis using Python on Seattle housing prices. Includes geomapping, descriptive, and predictive analytics. Written in Python, uses Pandas and other libraries for dataframe creation/manipulation.

Please open this project in Colab for the best experience. It is a large file, so if the .ipynb file doesn't load on the first try, reload it. This project seeks to understand the real estate landscape of Seattle washington. I utilize descriptive and predictive analytics to create a linear regression that can be used to estimate the price of a home in Seattle based on key characteristics. I also utilize geomapping for visual understanding.

real_estate_study's Issues

Create .py extension of code for broader use

Are you accepting PR to update and expand the code so I could use this for client data?

Also where is the data or can we abstract it to './data', maybe we could get it setup in a database for other locations to be accessible as I don't see a "Desktop/filename.xlsx"