Addition of a new project under Machine Learning called "Parkinson Disease Prediction using ML/DL"

[kashifalikhan36]

Describe the solution you'd like
The "Parkinson Disease Prediction using ML" project aims to build a reliable, efficient, and interpretable system for predicting the likelihood of Parkinson’s disease in individuals. The solution leverages machine learning models to analyze clinical data, address data imbalance, and mitigate critical bias issues, ensuring accurate predictions. This includes a Jupyter Notebook showcasing data preprocessing, feature engineering, and model implementation, accompanied by a processed dataset (complaints_processed.csv) and a comprehensive README.md.

Describe alternatives you've considered
Exploring deep learning models or ensemble techniques for improved accuracy. However, the current approach prioritizes simplicity and interpretability, making it accessible for contributors and learners working with foundational machine learning models.

Additional context
This addition to the Mlcapsule repository enhances its collection of machine learning projects by providing a practical resource for predictive modeling of neurological disorders.

[github-actions]

Thanks for creating the issue,Please read the Pinned issued first and Readme.md in each Pull Request you made. Keep learning...

[kashifalikhan36]

@Vaibhav2154 Please assign me this issue