AI / Data2024
Heartfailure Challenge
A predictive ML project focused on classification and model performance evaluation.
Doel
Build and evaluate classification models for heart failure prediction.
Uitdaging
Balancing accuracy with interpretability while handling real-world data noise.
Oplossing
Prepared features, tested multiple models, and compared results using clear metrics.
Werkproces
1
Dataset prep and feature selection
2
Model experiments and validation
3
Metric reporting and summary
Hoogtepunten
✓
Prepared datasets and feature sets for training.
✓
Compared model performance with clear metrics.
✓
Documented findings for reproducibility.
Eindresultaat
A structured evaluation with reproducible results and clear model comparisons.
Resultaten
Models
Compared
Multiple baselines tested.
Project Info
Klant
Machine Learning
Jaar
2024
Duur
7 weeks
Rol
ML Engineer
Tech Stack
PythonMachine LearningData Analysis
Metrics
Models
4
Dataset
Structured
Verantwoordelijkheden
- ›Data preparation and feature engineering
- ›Model training and evaluation
- ›Results documentation
Gallery
1 afbeeldingen
Coming soon