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preprocessing-code

This folder contains the notebooks for data preprocessing

  • Read data
  • Drop row and columns
  • Missing values
  • Groupby
  • Cross Tabulation
  • Normalize data
  • Outlier
  • Feature Selection with KNN & RandomForest
  • Dimensionality Reduction with eigen value
  • Analysis of customers based on recency, frequency, and monetary data(RFM)