Machine learning project using the Kaggle Heart Disease Health Indicators dataset to predict heart disease risk. Covers preprocessing, EDA, and training models (Logistic Regression, Random Forest, …

For Alcohol competition

For Hue regression analysis

For classification competition

ML-based cancer/stroke risk prediction using classification, clustering, and EDA techniques.

Improve the final validation score.

Efficient Image Captioning code in Torch, runs on GPU