Project 01 // Core Engine
Stroke Prediction AI
Model.
Python machine-learning workflow for stroke-risk prediction with preprocessing, SMOTE, and model comparison
PYT
PythonMAC
Machine LearningHEA
HealthcareSMO
SMOTERF/SVM/XGBModels
SMOTEBalancing
HealthDomain
Process // 01
The Challenge
Healthcare prediction datasets often need careful cleaning, categorical encoding, and class balancing before modeling.
Bottleneck Analysis
Identification of relay failures in distributed nodes.
Process // 02
The Solution
- Cleaned missing values, outliers, and categorical features.
- Used SMOTE to handle class imbalance.
Architecture