Tensorflow

Data Science and Machine Learning - Prediction of Parkinson’s Disease Progression

Predicted the Total UPDRS score based on 6000 records from the Parkinson’s telemonitoring dataset using various regression techniques. Achieved a minimum MAE of 0.415 using PCA with a multi-layered perceptron model. Determined an optimum threshold value of 15 for motor UPDRS score discriminated by dysphonia measurements