Replaces black-box recommendation systems with a scalable ALS implementation on PySpark. Utilizes distributed computing to process large-scale datasets for movie recommendations.
Tech Stack
PythonAI, ML & Data
Why Scalable-Machine-Learning-using-PySpark?
• Scalable to massive datasets
• Transparent algorithm logic
• Matplotlib visualization
Limitations
• Requires Spark cluster
• High memory overhead
• Complex configuration
3/4/2022
Last Update
0
Forks
0
Issues
Unknown
License
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