Project information

• Category: Machine Learning
• Technologies Used: Python, Flask , Sklearn
• Project date: 12 August, 2020
• Project URL: proj-park.sathwikreddy00.in

I had used Supervised Machine Learning algorithm to detect Parkinson Disease. For this, we need some training labelled data to train the model. After that I made a model using machine learning algorithm which can predict that a person has Parkinson disease or not by passing some voice measurement of that person into our model. We will take the data from https://archive.ics.uci.edu/ml/datasets/parkinsons. The dataset provided in that website was created by Max Little of the University of Oxford recorded the speech signals. The original study published the feature extraction methods for general voice disorders. The data was accessed from from the University of California Irvine’s (UCI) machine learning repository archive.