/Fuel-Consumption-with-Regression

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Fuel-Consumption-with-Regression

CONTENT:

  1. LOAD and FIRST LOOK to DATA
  2. MISSING VALUES
  3. EXPLORATORY DATA ANALYSIS
  4. OUTLIERS
  5. FEATURE ENGINEERING
    • Skewness
    • One-Hot Encoding
  6. PREPARATION for MODEL
    • Standardization
  7. MODEL
    • Linear Regressin
    • Ridge Regression (L2)
    • Lasso Regression (L1)
    • ElasticNet Regression
    • XGBoost Regression
  8. RESULTS