renatogcruz/Data-science-for-architecture
Repository for data science study for architecture, engineering and construction (AEC)
This project helps professionals in architecture, engineering, construction, and urbanism understand and apply data analysis techniques to their specific industry challenges. It provides practical examples and tools for tasks like predicting construction costs, analyzing building information models (BIM/IFC), and visualizing urban data. Architects, civil engineers, urban planners, and construction managers can use this to make more informed decisions.
No commits in the last 6 months.
Use this if you are an AEC or urbanism professional looking to integrate data science methods into your workflow to improve project insights and decision-making.
Not ideal if you are seeking a production-ready application rather than a collection of data analysis studies and learning resources.
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Jupyter Notebook
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Last pushed
May 02, 2022
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