"Interactive Polar Diagrams for Model Comparison" by Aleksandar Anžel, Dominik Heider, and Georges Hattab

A collection of machine learning projects covering predictive modeling, classification, clustering, and NLP. Each project includes detailed analysis, feature engineering, and model evaluation. Some projects also have interactive Streamlit apps for real-time insights! 🚀

"A Multi-Technique Approach for Improving Summary Polar Diagrams" by Aleksandar Anžel, Zewen Yang, and Georges Hattab

Data Science project for a startup intending to compete with SpaceX

This project highlights the use of KNN, SVM, Decision Tree and Random Forest Classifiers to predict heart disease in a set of patients. The project also evaluates the models using metrics like Accuracy, Classification Report (Precision, Recall, F1-Score) and Confusion Matrix.

Submission of Project