Amazon Recommendation System

I developed a personalized Amazon Product Recommendation System using machine learning and data analysis techniques. The goal was to suggest relevant products to users based on their historical behavior, preferences, and product reviews.

Technologies & Tools Used:

Python (Pandas, NumPy)

Scikit-learn / Surprise library

Sentiment Analysis on product reviews

Recommendation algorithms (Content-Based & Collaborative Filtering)

User-Item Interaction Matrix

Text preprocessing and feature engineering

Key Achievements:

Improved recommendation accuracy and user satisfaction

Reduced irrelevant product suggestions

Designed a clear, user-friendly output for recommendations