Tarantulas Submission

Project description

1. Data Engineering: Merging data of different shapes (land prices, buildings, Zensus, etc.)
2. Generating features: Building new features by exploring other data streams such as OSM (number/length of travel paths) and World Cover (proportion of grassland, etc.)
3. Feature reduction: Using PCA we projected a total of 200 features to 20 while maintaining 95% of the data science variance
4. Model evaluation: Examination of different models (see Model Selection file) and scoring analysis

How to test our product

Locally

1. Install Python and Anaconda
2. Run following command to create the anaconda environment with all necessary dependencies:conda create --name tarantulas --file requirements.txt
3. Activate environment with: conda activate tarantulas
4. Run the application by: streamlit run app.py

On the Remote Server

Access the app by clicking This App Link

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Team Tarantulas Members

• Rohan Walia
• Yichen Zhang
• Lucas Vicentim
• Billy Herrmann
• Sandro Barrios