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📖 Data-Analysis-and-Practice-1 Assignment 📖

✏️ Team Members

  • 17011709 정선아
  • 17011741 문성용
  • 17011742 김소영

📌 Assignment#1~#5 ipynb

  1. Assignment#1.ipynb
  2. Assignment#2.ipynb
  3. Assignment#3.ipynb
  4. Assignment#4.ipynb
  5. Assignment#5.ipynb

📌 Assignment Modularization

  1. RatingMatrix.py: 과제 1
  • MoviLens Pivot Table
  1. UserSimilarity.py: 과제 2
  • COS
  • PCC
  • JMSD
  1. Memory-basedCF.py: 과제 3
  • CF with Baseline (User-based, Item-based / COS, PCC)
  1. PredictedRating.py : 과제 4
  • Predicted Rating (use Basic CF algorithm)
  • Predicted Rating (use CF algorithm with mean)
  • Predicted Rating (use CF algorithm with z-score)
  • Predicted Rating (use SVD)
  • Predicted Rating (use PMF)
  • Predicted Rating (use PMF with bias)
  1. Evaluation.py : 과제 5
  • Precision
  • Recall
  • F1
  • NDCG(DCG, IDCG)

📌 Final Term

  1. PIP(Proximity-Impact-Popularity)
  2. Singularity

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