Section outline

  • Lecture: Data preprocessing, imputation, dimensionality reduction; table joins

    • Handling missing values: imputation, last observation carried forward.
    • Categorical data: nominal vs ordinal
    • Standardization / feature scaling
    • Dimensionality reduction for high dimensional inputs.
    • Merging data sources: (SQL-type) join operations between tables: inner, full/left/right outer joins.


    Faculty:  Stathis Gennatas


    Location: 
    Mission Hall 1406 (Please note room changed)

    • Session Slides:

    • Session Audio/Video Recording (Access restricted to registered students):