PySpark: Apply & Evaluate Predictive ML Models
Completed by Gabriel Lima da Silva
January 12, 2026
5 hours (approximately)
Gabriel Lima da Silva 's account is verified. Coursera certifies their successful completion of PySpark: Apply & Evaluate Predictive ML Models
What you will learn
Build and evaluate regression models in PySpark using linear, GLM, and ensemble methods.
Apply logistic regression, decision trees, and Random Forests for classification.
Implement K-Means clustering and assess scalable ML workflows with PySpark.
