Feature Engineering: extracting more information from existing 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:

• A Complete Tutorial which teaches Data Exploration in detail
• R語言自學日記(7) - 其他資料預處理技巧 - R 語言自學系列 - Medium