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colaborative-filtering

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Recommender System Project This repository contains the implementation of various recommender system algorithms, including KNN, SVM, Decision Tree, and Matrix Factorization. The primary focus is on Matrix Factorization to provide personalized movie recommendations using the MovieLens dataset.

  • Updated Sep 24, 2024
  • Jupyter Notebook
SmartRecommender-Project-Django-React

Product Recommendation Platform Using Machine Learning and Uncertainty Modeling: Content-Based Filtering, Collavorative Filtering, Fuzzy logic, Sentiment analysis, Models probablistic, Association rules.

  • Updated Feb 22, 2026
  • Python

RecAnthology is a hybrid recommendation system for books, movies, and TV shows that combines content-based modeling and collaborative filtering with adaptive weighting, cold-start handling, and offline evaluation metrics to deliver measurable, personalized recommendations.

  • Updated Feb 19, 2026
  • Python

Demos of various data science projects I completed - August 2023 to present. Mostly Module Assignments from MIT Course. Will add personal projects in the future here as well.

  • Updated Oct 23, 2024
  • Jupyter Notebook

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