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The "Toxic Comment Classifier" model, which classifies text according to whether it exhibits offensive attributes (i.e. Insult, Obscene, Severe Toxicity).

The "Wine Quality Prediction" project is a data-driven application of machine learning techniques to assess and predict the quality of wines based on various chemical and sensory features. This project aims to assist winemakers, sommeliers, and wine enthusiasts in evaluating and improving wine quality by analyzing historical data and building predictive models.

The "House Sale Prediction" project is an application of data science and machine learning techniques to predict the sale prices of residential properties accurately. This project aims to assist home buyers, sellers, and real estate professionals in making informed decisions by leveraging historical housing data and various features influencing property values.