This Project involved using classification algorithms and ensemble techniques to diagnose Parkinson’s Disease (PD) using the patient voice recording data. Various models were used including Naive Bayes, Logistic Regression, SVM, Decision Tree, Random Forest etc. and comparison of accuracy across these models was done to finalize the model for prediction
Skills & Tools Covered:
- EDA
- Logistic regression
- Decision Trees