Project Showcase
Highlight of my featured works
Medical Problems: Classifying Heart Diseases
A machine learning project to classify heart disease presence using clinical dataset. Includes EDA, preprocessing, model training, and evaluation to improve prediction accuracy.
🎯 What I Learned
- Performed exploratory data analysis to identify correlations and trends
- Applied preprocessing steps including scaling and handling multicollinearity
- Trained classification models and evaluated using metrics like accuracy,f1-score,recall & precision
🛠 Tech Stack
- Python, Pandas, NumPy
- Matplotlib, Seaborn, Plotly
- Statsmodels
📌 Evaluation / Next Step
The models achieved good baseline accuracy but could be enhanced by testing advanced algorithms such as ensemble methods or hyperparameter tuning for better generalization.