LABS Proyecto Individual: MVP Steam - Rol: MLOps Engineer | Bootcamp Henry: Carrera Data Science | Cohorte DataFT 17
Our innovative platform takes the guesswork out of choosing your next movie by offering personalized recommendations based on similar films you love.❤️
Machine Learning Movie Recommender using NLP, Pandas, Scikit-learn, CountVectorizer & Cosine Similarity. Built with Python & Streamlit. Live demo available.
a supervised multi-class classification problem where we will be finding the topic of the document based on high probabilty word occurence.
ML Projects and Practices
Full-stack ML web app built with Python, Flask, & Scikit-Learn. Uses Cosine Similarity on movie metadata (genres, cast, keywords) to generate personalized recommendations in real-time. Features a dark-themed UI, lightweight Flask backend, & Git LFS for handling large pre-trained model files. Deployed on Render!
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