DAV Unit 2 Notes AKTU (BCDS501)

AKTU · BTECH · Semester 5 · Introduction to Data Analytics and Visualization · Unit 2 · Notes

AKTU Introduction to Data Analytics and Visualization (BCDS501) Unit 2 notes for B.Tech Semester 5 – Data Analysis. Topics: Regression And Multivariate…

Open the interactive reader to study this resource on AcademicArk.

Unit 2: Data Analysis – AKTU syllabus topics

  • Regression And Multivariate: Regression Modeling, Multivariate Analysis
  • Bayesian Methods: Bayesian Modeling, Bayesian Networks
  • Support Vector Methods: Kernel Methods
  • Time Series Analysis: Linear Systems Analysis, Nonlinear Dynamics
  • Neural Networks: Learning And Generalisation, Competitive Learning, PCA And Neural Networks
  • Fuzzy Logic: Fuzzy Models, Fuzzy Decision Trees
  • Search Methods: Stochastic Search Methods, Rule Induction

Most asked AKTU PYQ questions from Unit 2

  1. Q2b. Explain regression modeling and discuss its limitations. (7 marks, 2025-26)
  2. Q4a. Explain Bayesian modeling and in data analytics. (7 marks, 2025-26)
  3. Q1d. What is regression modeling? Mention one application. (2 marks, 2025-26)
  4. Q1d. List various types of regression analysis techniques. (2 marks, 2022-23)
  5. Q4b. Compare regression modeling and Bayesian modeling. (7 marks, 2025-26)
  6. Q2b. Illustrate with example Regression and Bayesian modelling. (7 marks, 2023-24)
  7. Q4b. How do stochastic search methods differ from deterministic optimization techniques? Provide use cases for each. (7 marks, 2024-25)
  8. Q4b. What are the various stochastic search methods. Explain in detail with suitable example. (7 marks, 2023-24)
  9. Q5a. With the help of suitable example explain prediction error in classification and regression. (7 marks, 2023-24)
  10. Q1d. How do linear and nonlinear dynamics influence the accuracy of predictions? (2 marks, 2024-25)

AKTU paper codes: BCDS501, KDS501

Other Introduction to Data Analytics and Visualization units

Introduction to Data Analytics and Visualization previous year papers

More Introduction to Data Analytics and Visualization resources

More versions of this resource

Browse all notes · Semester 5 notes