Metastatic cancer diagnosis prediction model for Wids Datathon 2024. Developed in Python an accurate prediction model utilizing machine learning techniques and ensemble methods and explored supervised and unsupervised learning algorithms, including linear regression, decision trees, and clustering. Demonstrated expertise in data preprocessing, model training, result interpretation, exploratory data analysis, feature engineering, and machine learning model development, resulting in actionable insights and competitive predictive performance.