A simulation study looking at which combinations of missing data handling methods across a prediction model's pipeline are compatible, and which ones lead to bias.

Solution for the Multivariate prediction modelling with applications in precision medicine (KI-Course)

Data Science and Prediction of Insurance Cost With the Help of Multiple Machine learning Algorithms and Python Libraries.

Waze User Churn Analysis: Binary classification using Random Forest & XGBoost. Implements advanced feature importance auditing, hyperparameter tuning, and decision threshold optimization for high-cost false negative mitigation.

Using Logistic Regression to predict if a car sale is going to go bad.