I will build recommendation systems with machine learning

I will build a custom recommendation system using Python and machine learning for your app, website, e-commerce platform, or research project.

I develop recommendation engines tailored to your data and use case, including:

• Content-based recommendation systems
• Collaborative filtering
• Hybrid recommendation systems
• Personalized product and content recommendations
• Similarity-based recommenders
• Trending and popularity-based systems
• Matrix factorization
• Deep learning recommendation models
• Recommendation APIs and dashboards

I can help with data cleaning, preprocessing, feature engineering, model training, evaluation, performance analysis, visualizations, and API integration.

Whether you need a recommendation model for a research project, FYP, thesis, e-commerce platform, application, or an existing software product, I will deliver clean, testable, and well-documented implementation.

Technologies include Python, Pandas, NumPy, Scikit-learn, TensorFlow, Surprise, Flask, and Streamlit.

Send me a message before ordering with details about your dataset, project, or application so I can recommend the right approach.