Machine Learning with PySpark
Completed by Silas Davis
August 29, 2025
13 hours (approximately)
Silas Davis'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: Applied Machine Learning
- Category: Model Training
- Category: Machine Learning
- Category: Data Manipulation
- Category: Data Preprocessing
- Category: PySpark
- Category: Logistic Regression
- Category: Model Optimization
