Machine Learning with PySpark
Completed by Alberto De Benedittis
August 28, 2025
13 hours (approximately)
Alberto De Benedittis's account is verified. Coursera certifies their successful completion of Machine Learning with PySpark
What you will learn
Implement machine learning models using PySpark MLlib.
Implement linear and logistic regression models for predictive analysis.
Apply clustering methods to group unlabeled data using algorithms like K-means.
Explore real-world applications of PySpark MLlib through practical examples.
Skills you will gain
- Category: Model Optimization
- Category: PySpark
- Category: Model Training
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Machine Learning
