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Some Goodies

Data Mining

See

  • Temporal Holdout Evaluation

  • Customer Behavior Feature Engineering

  • K-means

  • Apriori and Eclat Frequent Itemset Mining

  • Correspondence Analysis

  • Hierarchical Clustering and Ward Linkage

  • Sparse Matrices and Truncated SVD

  • Statistical Learning

  • Principal Component Analysis

  • Non-negative Matrix Factorization

  • Numerical Analysis

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Some content may be AI-generated. These are my notes, reflecting preparation for exams and projects.
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