I worked on predicting whether a Nearest Earth Object (NEO) is hazardous using a dataset from NASA. This prediction is critical for planetary defense and identifying potential threats to Earth. I used machine learning models to achieve this goal, focusing on data preprocessing, handling imbalanced classes, and evaluating the model's performance.
