Project Showcase

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Game Recommender System

Machine Learning / Recommendation 2025

A machine learning project that recommends similar games using TF-IDF text vectorization and cosine similarity for content-based filtering.

Game Dataset Overview TF-IDF Vectorization Recommendation Results

🎯 What I Learned

  • Vectorized text data with TF-IDF
  • Calculated similarity with cosine similarity
  • Built a recommendation engine for games

🛠 Tech Stack

  • Python, Pandas, NumPy
  • Scikit-learn (TF-IDF, Cosine Similarity)

📌 Evaluation / Next Step

Content-based recommendations worked well for similarity-based suggestions, but lacked novelty since it only recommends items similar to the input. Future steps include collaborative filtering and hybrid recommenders for improved personalization.