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SIEver wondered how Netflix or Amazon knows what you’ll like next?
Students at Siddhartha Institute of Technology & Sciences (SITS) developed a Recommendation System using Collaborative Filtering, a machine learning model that suggests items based on user preferences and behavior.
Using Python, NumPy, and Pandas, the system analyzes user data, finds similarities, and predicts personalized recommendations.
This is how data turns into smart suggestions.
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