Data Exploratory: understand and clean data

  • steps involved to understand, clean and prepare your data for building your predictive model
    • Data Exploration: understand and clean your data
      • Variable Identification
      • Univariate
      • Bivariate Analysis
      • Missing Values Imputation
      • Outliers Treatment
    • Feature Engineering: extracting more information from existing data
      • Variable transformation
      • Variable / Feature creation

Reference:

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