Detecting Parkinson's disease using a dataset sourced from Kaggle in a Jupyter Notebook.
This project utilizes machine learning techniques to detect Parkinson's disease based on a dataset obtained from Kaggle. The Jupyter Notebook(s) in this repository contain the code and analysis.
The dataset used for this project is sourced from Kaggle.
The machine learning models or algorithms used for Parkinson's disease detection.
Jupyter notebook is used in which some python inbuilt libraries like numpy pandas are used.
Summarizing the results obtained from the analysis, including model accuracy, key metrics,we detected the disease and some insights gained.