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927621bcs058
cv.io
expense-tracker-backend-main
GourmetParadise
newRepo
sk.github.io
skaviya.github.io
skaviya308.github.io
skaviya8
Config files for my GitHub profile.
swiggyAPI
skaviya8's Repositories
skaviya8/skaviya8
Config files for my GitHub profile.
skaviya8/cv.io
skaviya8/GourmetParadise
skaviya8/sk.github.io
skaviya8/skaviya.github.io
skaviya8/skaviya308.github.io
skaviya8/swiggyAPI
skaviya8/newRepo
skaviya8/expense-tracker-backend-main
skaviya8/927621bcs058
skaviya8/text_effect
skaviya8/parkinsonism_detection
This project evaluates the effectiveness of supervised machine learning algorithms to detect Parkinson’s Disease (PD) using voice data. Algorithms like KNN, Logistic Regression, Decision Tree, Naive Bayes, and XGBoost were tested. Python, along with NumPy and Pandas, was used. XGBoost showed high accuracy for PD detection.