IMP

📋 Advanced Curriculum: Question Bank Modules (Click to Expand)

Data Preprocessing & Data Quality (5 Questions)

  • Missing data imputation strategies
  • Data quality issues & resolution
  • Outlier detection & treatment
  • Class imbalance handling
  • Data stratification techniques

Classification & Model Selection (5 Questions)

  • Generative vs. Discriminative classifiers
  • Bias-variance tradeoff in Ridge Regression
  • Gradient Descent vs. Least Squares (computational efficiency)
  • Logistic regression overfitting analysis
  • Feature scaling importance

Model Evaluation & Decision Trees (5 Questions)

  • Confusion matrix analysis (Fraud detection case)
  • Overfitting in decision trees
  • ID3 algorithm & information gain calculations
  • Additional advanced topics

Key Features of Each Question

✅ Model Answers with:
  • Step-by-step calculations
  • Mathematical formulas & derivations
  • Quantitative examples with numerical data
  • Visual representations (tables, diagrams)
  • Practical business implications
  • Marks distribution per sub-question
✅ Graduate-Level Depth:
  • Theory-backed explanations
  • Computational complexity analysis
  • Trade-off discussions
  • Real-world application scenarios
  • Justification requirements
✅ Exam-Style Coverage:
  • Mix of conceptual & numerical problems
  • True/False with detailed justification
  • Application-based case studies
  • Algorithm implementation understanding