Use the Parkinson_Prediction.csv database, and the K-NN, Logistic Regression, Decision Tree, and Random Forest algorithms to classify subcortical structures to deep brain stimulation in Parkinson's disease. Important: Develop a python notebook that includes: • Exploratory Data Analysis
Use the Parkinson_Prediction.csv database, and the K-NN, Logistic Regression, Decision Tree, and Random Forest algorithms to classify subcortical structures to deep brain stimulation in Parkinson's disease. Important: Develop a python notebook that includes: • Exploratory Data Analysis
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Transcribed Image Text:Use the Parkinson_Prediction.csv database, and the K-NN, Logistic
Regression, Decision Tree, and Random Forest algorithms to
classify subcortical structures to deep brain stimulation in
Parkinson's disease.
Important:
Develop a python notebook that includes:
• Exploratory Data Analysis
• The ML techniques required and the performance evaluation
with parameter optimization
• Discuss and write your results within the same python
notebook
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