Machine Learning with PySpark: Recommender System
Completed by Ashish Puri
April 6, 2026
1 hours (approximately)
Ashish Puri's account is verified. Coursera certifies their successful completion of Machine Learning with PySpark: Recommender System
What you will learn
Build a PySpark pipeline to clean, transform, and prep product data for analysis.
Use K-means with OpenAI embeddings to cluster similar products and visualize.
Create a recommendation system to suggest products based on recent user activity.
Skills you will gain
- Category: Applied Machine Learning
- Category: Data Transformation
- Category: Data Pipelines
- Category: Data Processing
- Category: OpenAI API
- Category: Embeddings
- Category: Dimensionality Reduction
- Category: PySpark
- Category: Pandas (Python Package)
- Category: Unsupervised Learning
- Category: Machine Learning
- Category: AI Personalization
