This project focuses on the classification of Parkinson's disease using several machine learning techniques, including Support Vector Machines (SVM), Decision Trees, Random Forests, and XGBoost. The models were optimized using Grid Search for enhanced performance.
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This project focuses on the classification of Parkinson's disease using several machine learning techniques, including Support Vector Machines (SVM), Decision Trees, Random Forests, and XGBoost. The models were optimized using Grid Search for enhanced performance.
aliikhwan99/Parkinson-s-Disease-Analysis
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This project focuses on the classification of Parkinson's disease using several machine learning techniques, including Support Vector Machines (SVM), Decision Trees, Random Forests, and XGBoost. The models were optimized using Grid Search for enhanced performance.
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