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README.md

Time Series & Catagorical

  1. loading data from tables (excel files, csvs)

  2. cleaning misformed data and missing values

  3. filtering data using keywords and logical constraints

  4. computing summary statistics

  5. aggregating data via pivot tables

  6. visualizing timeseries:

    • delta plots for collections + envelope
    • #collections by year

Machine Learning

  1. Normalization

  2. Projection

  3. Clustering (unsupervised learning)

  4. Classification (supervised learning)

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