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🔥Discover SKillUP free online certification programs – https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=18FebSKillupYT&utm_medium=DescriptionFF&utm_source=youtube "️🔥 Michigan Engineering - Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/professional-aiml-program?utm_campaign=CQLkX4utdIU&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥IITK - Professional Certificate Course in Generative AI and Machine Learning - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=CQLkX4utdIU&utm_medium=DescriptionFFF&utm_source=Youtube ️🔥Microsoft AI Engineer Program - https://www.simplilearn.com/ai-engineer-course?utm_campaign=CQLkX4utdIU&utm_medium=DescriptionFFF&utm_source=Youtube ️️🔥 Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=CQLkX4utdIU&utm_medium=DescriptionFFF&utm_source=Youtube" 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. ⏺ Link for the dataset: https://drive.google.com/drive/folders/1XJyjdXtptod7zua--SIlg-ltOOWezWGK?usp=sharing ✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH ⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4 #ParkinsonsDiseaseDetectionUsingMachineLearning #MachineLearningProjects #ParkinsonsDisease #ParkinsonDisease #MLProject #MachineLearning #ML #MLBasics #MachineLearningTutorial #MLTutorial #SimplilearnMachineLearning #MachineLearningPython #Simplilearn ⏩ Check all the Machine Learning Projects Videos: https://youtube.com/playlist?list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy ➡️ About Artificial Intelligence Engineer This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions. IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers. ✅ Key Features - Add the IBM Advantage to your Learning - 25 Industry-relevant Projects and Integrated labs - Immersive Learning Experience - Simplilearn's JobAssist helps you get noticed by top hiring companies ✅ Tools Covered - ChatGPT - Flask - Matplotlib - django - Python - Numpy - Pandas - SciPy - Keras - OpenCV - And Many More… 👉 Learn more at: https://www.simplilearn.com/professional-aiml-program?utm_campaign=Parkinson%E2%80%99sDiseaseDetectionUsingMachineLearning&utm_medium=Description&utm_source=youtube
