6. Data Mining a 162K CAD Dataset

Dive deeper into analytics with the 3b_162k_dataserving.ipynb notebook, which demonstrates exploratory data analysis and visualization over a large CAD-derived dataset.

Run the notebook within the hoops_ai_cpu environment outlined in Evaluate & Install.

The code and resources for this tutorial can be found in the HOOPS-AI-Tutorials Github repository.

Hint

Start JupyterLab and open notebooks/3b_162k_dataserving.ipynb from the tutorial bundle root to try the examples.

• HOOPS AI: Use the Dataset Explorer to navigate the dataset
• Gather files that fulfilled a given condition. Filter
• Query data for single file
• Create subsets (train, validation, test) based on the label distribution