Data-Mining-Project
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mrsan22
Recognizing human activity using multiple wearable accelerometer sensors placed at different body positions.
This PR upgrades the existing Random Forest–based activity recognition pipeline with robust data-handling improvements and multi-sensor fusion capabilities. It modernizes the codebase for Python 3 + latest scikit-learn (≥1.3) and...
This PR updates `DM_Project_RandomForest.py` in the following ways: - Replace deprecated imports (cross_validation, grid_search) with `model_selection` - Convert print statements to Python 3 style - Structure code into functions for...