avral1810/parkinsongait
Utilized sensor data installed on foot to classify if a test subject has Parkinson’s Disease through Random Forest • Devised a basic feed forward neural network approach to predict if test subjects have Parkinson’s Disease • Applied YOLO classifiers in Tensorflow to identify joints, such as hips, knees, and ankles
Python