Models to be implemented:
  • XGBoost Regressor
  • LightGBM Regressor
  • CatBoost Regressor
  • Random Forest Regressor
  • Gradient Boosting Regressor
  • Bayesian Ridge Regression
  • Huber Regressor
  • Stacking Classifier
  • Voting Classifier
  • TabNet
  • AutoML Models