Parkinson-Disease-Detection

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Parkinson-Disease-Detection

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Parkinson Disease Detection using Machine Learning

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# Parkinson 🧠 Disease ⚕️ Detection 🔍
[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/) 
This project aims to make use of **Machine Learning** techniques to detect instances of Parkinson's Disease. The project performs the following tasks: 
1️⃣ Data Collection 
2️⃣ Data Preprocessing 
3️⃣ Exploratory Data Analysis 
4️⃣ Dataset Balancing & Scaling 
5️⃣ Machine Learning Models Training & Evaluation
## Dataset Details
**Dataset Used :** Parkinsons Disease Dataset 
**Dataset Source :** UCI Machine Learning Repository 
**Dataset Hosting URL :** https://archive.ics.uci.edu/ml/machine-learning-databases/parkinsons/parkinsons.data 
## Machine Learning Models Trained & Evaluated
The following Machine Learning models were trained and evaluated: 
1️⃣ Decision Tree Classifier 
2️⃣ Random Forest Classifier 
3️⃣ Logistic Regression 
4️⃣ Support Vector Machine Classifier 
5️⃣ Naive Bayes Classifier 
6️⃣ K Nearest Neighbor Classifier 
7️⃣ XGBoost Classifier 
## Best Performing Machine Learning Model
**Random Forest Classifier** was found to be the best performing Classifier with:
* Accuracy: 0.996102
* F1 Score : 0.961538
* R2 Score : 0.862471

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