Built a machine learning application

Built a machine learning application that analyzes Amazon customer reviews and predicts whether the sentiment is positive or negative.

The project uses TF-IDF to convert review text into numerical features and Logistic Regression for sentiment classification. The trained model is integrated into a Streamlit application so users can enter a review and receive a sentiment prediction.

Built with: Python, TF-IDF, Logistic Regression, Machine Learning, and Streamlit.