Feature Engineering

#machine-learning #interview
Feature Engineering

Transforming raw data into feature vector is called feature engineering

Some examples

  1. Handling Missing Data
  2. Standardization
  3. Handling duplicate data
  4. Scaling - Data Normalization
  5. Handling Outliers
  6. Handling Imbalanced Dataset
  7. Check for data type consistency

Related Notes