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OkCupid User Compatibility
Project Type
Unsupervised Machine Learning
Tools
Natural Language Processing (NLP) - [NLTK, SpaCy, Tokenization & Vectorization] ,
Machine Learning & Modeling - [Scikit-Learn, XGBoost, Ensemble Learning (Bagging & Boosting)],
Dimensionality Reduction & Clustering - [PCA (Principal Component Analysis), Clustering Algorithms (e.g., K-Means)]
This project analyzes user compatibility on the OkCupid dating app using NLP and machine learning. Techniques like tokenization, PCA, clustering, and ensemble learning were applied to uncover patterns in user behavior and improve matchmaking.
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