Added thecode for feature extraction and train/val/test for a specific scenario
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- Scenario 1: Activity recognition based on position sampling - Random Forest.ipynb 442 additions, 0 deletions...ognition based on position sampling - Random Forest.ipynb
- Scenario 2: Activity recognition based on position sampling - Random Forest.ipynb 490 additions, 0 deletions...ognition based on position sampling - Random Forest.ipynb
- Scenario 3: Activity recognition based on position sampling - Random Forest.ipynb 370 additions, 0 deletions...ognition based on position sampling - Random Forest.ipynb
- Scenario 4: Activity recognition based on position sampling - Random Forest.ipynb 514 additions, 0 deletions...ognition based on position sampling - Random Forest.ipynb
- Scenario 5: Activity recognition based on position sampling - Random Forest.ipynb 436 additions, 0 deletions...ognition based on position sampling - Random Forest.ipynb
- common_utils/__pycache__/feature_extraction.cpython-38.pyc 0 additions, 0 deletionscommon_utils/__pycache__/feature_extraction.cpython-38.pyc
- common_utils/__pycache__/model_definition.cpython-38.pyc 0 additions, 0 deletionscommon_utils/__pycache__/model_definition.cpython-38.pyc
- common_utils/feature_extraction.py 104 additions, 0 deletionscommon_utils/feature_extraction.py
- common_utils/model_definition.py 173 additions, 0 deletionscommon_utils/model_definition.py
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