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.