Connecting Data between Grasshopper and Jupyter Notebook
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Connecting Data between Grasshopper and Jupyter Notebook
Connecting data between Grasshopper and Jupyter Notebooks allows for the integration of parametric design with advanced data analysis and machine learning in Python. In this series of tutorials you will learn how to generate a data set in Grasshopper, export the data set to a CSV file, load this CSV file in a Jupyter notebook to train a ML model to predict the room labels, and then visualize the results in Grasshopper.
In total there are three steps to follow:
- Generate a data set in Grasshopper
- Train a ML model to predict room labels
- Load the results into Grasshopper to visualize them