Built a Spark pipeline for USGS earthquake data and compared models for multiclass magnitude classification.
Developed the data pipeline and contributed to model comparison.
Used Python, PySpark, and Spark ML.
Cleaned, processed, and analyzed USGS earthquake catalogue data.
Engineered temporal and quality related features for multiclass magnitude classification.
Compared Logistic Regression, Decision Tree, Random Forest, and Gradient Boosted Tree models.
Used imbalance handling strategies in the model comparison.