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.
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3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems
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