Recommendation System for Personalized Content Delivery

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About Course

  • Tech Stack: Python (TensorFlow, Scikit-learn), Hadoop, Spark, React.js, GCP (DataFlow, BigQuery, AI Platform)
  • Objective: Develop a personalized content recommendation engine for a media platform using collaborative filtering, matrix factorization, and deep learning. The engine will analyze user behavior to recommend personalized content in real-time.
  • Skills Needed: Collaborative filtering, deep learning (TensorFlow), real-time data pipelines (Spark, Hadoop), cloud deployment (GCP), front-end integration.

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