Parkinson's Disease

This is a Python project which compares the score and accuracy of various ML models (LR,KNN,MLP,DT,GB) in detecting the parkinson's disease using the dataset which contains the voice features of patients.

Requirements

• pandas,sklearn libraries

How to Run

1. Install the pandas and sklearn libraries if it is not already installed by using

  pip install pandas
  pip install sklearn

2. Open a terminal or command prompt and navigate to the directory where the file is saved.

3. Enter : "code ." to open the folder in vscode.

4. Download the data.csv file.

5. Run the .ipynb file.

Author

MohamedFaheemM