Section outline

  • Module 4: Machine Learning for Advanced Analytics

    • 4.1 Supervised Learning
      • Regression models (Linear, Polynomial, Ridge, Lasso)
      • Classification models (Decision Trees, Random Forest, SVM, k-NN)
      • Model evaluation metrics (Accuracy, Precision, Recall, F1 Score, ROC-AUC)