Parkinson’s Disease Detection Using Machine Learning | Machine Learning Projects 2026 | Simplilearn

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In this video, we are going to cover how to implement a Parkinson's disease prediction system using Python. This video will help you in a complete understanding of how to implement a Parkinson's disease prediction system using different Python libraries.

Parkinson’s Disease Detection Using Machine Learning -
00:00 Introduction
00:54 Hands-on lab demo

✅ What is Numpy?
NumPy is a Python library used for working with arrays.It also has functions for working in the domain of linear algebra and matrices. It is an open-source project and you can use it freely. NumPy stands for Numerical Python.

✅ What is Pandas?
Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.

✅ What is Sklearn?
The most effective and reliable Python machine learning library is called Skearn (Skit-Learn). Through a Python consistency interface, it offers a variety of effective tools for statistical modeling and machine learning, including classification, regression, clustering, and dimensionality reduction.

✅ What is SVM?
SVMs are utilized in web pages, intrusion detection, face identification, email categorization, gene classification, and handwriting recognition, among other applications. We utilize SVMs in machine learning for some reasons, including this. Both classification and regression on linear and non-linear data are supported.

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