Problem: Needed to automatically classify product reviews to understand customer sentiment. Solution: Built an end-to-end ML pipeline with TF-IDF vectorization, logistic regression, and Flask deployment. Outcome: Achieved 84% accuracy in classifying reviews, demonstrating practical ML application in production.
Python, Pandas, Flask, spaCy, scikit-learn, NLP, Machine Learning
https://github.com/chrisbraycodes/nlp-product-review-classifier
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