Machine Learning with PySpark: Recommender System

Complete this Guided Project in under 2 hours. Did you know that personalized product recommendations can increase sales by up to 20%? As consumers, we all ...

• 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.