• A stroke is a serious life-threatening medical condition that happens when the blood supply to part of the brain is cut off.

• Trouble speaking and understanding what others are saying. You may experience confusion, slur your words or have difficulty understanding speech.
• Problems seeing in one or both eyes. You may suddenly have blurred or blackened vision in one or both eyes, or you may see double.
• Trouble walking. You may stumble or lose your balance. You may also have sudden dizziness or a loss of coordination.

• Name: Stroke Prediction Dataset
• Feautres: 11 clinical features for predicting stroke events
• Observation: The data contains 5110 observations

1. Load and Review Dataset
   • Reading Dataset & Pre-examination
   • Basic Visualization
2. Data Preprocessing & Variables types adjustment
3. Train & Test Split
4. Machine Learning Models
   • General Informations
   • Logistic Regression (LR)
   • Naive Bayesian (NB)
   • K-nearest neighbors (KNN)
   • Support Vector Machine (SVM)
   • Non-Linear SVM (Radial Basis Function)
   • Artificial Neural Networks (ANN)
   • Classification And Regression Tree (CART)
   • Random Forest (RF)
   • Gradient Boosting Machines (GBM)
5. Evaluation of Results
6. Creation of Prediction Funtion
7. Artificial Patients Profiles for Prection Function
8. Stroke Risk Prediction of Patients

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