Master in Data Science (SMS, TU) Fundamentals of Data Science Question Paper 2079 Nepal
This is the official Master in Data Science (SMS, TU) Fundamentals of Data Science question paper for 2079, as set in the Board examination. It carries 45 full marks and a time allowance of 120 minutes, across 10 questions. On Kekkei you can attempt this Fundamentals of Data Science past paper online with a timer, get instant AI feedback and step-by-step solutions, and track the topics where you lose marks — completely free. Whether you are revising for your Master in Data Science (SMS, TU) Fundamentals of Data Science exam or solving previous years' question papers, this 2079 paper is a great way to practise under real exam conditions.
| Level | Master in Data Science (SMS, TU) |
|---|---|
| Subject | Fundamentals of Data Science |
| Year | 2079 BS |
| Exam session | Board |
| Full marks | 45 |
| Time allowed | 120 minutes |
| Questions | 10, all with step-by-step solutions |
Group A
List and explain in short three main limitations of Data Science.
List three main differences between TDSP lifecycle and OSEMN framework.
List the differences between supervised and unsupervised machine learning methods including examples.
Define and briefly describe neural networks. List a few example use-cases where neural networks can be used.
What are decision trees? What does impurity of a node mean in context of decision tree?
Group B
Explain CRISP-DM in detail with a diagram and an example.
OR
What are the benefits of using OSEMN framework over CRISP-DM? In what scenarios will you use OSEMN instead of CRISP-DM?
Define with an example the K-means along with its limitations.
List major differences between linear and logistics regressions with examples.
Explain map-reduce programming paradigm. Include details on how it applies to Hadoop ecosystem.
Describe in detail how the quality of data can be assessed during data munging.
OR
List and describe how you would address various kinds of issues during data cleanup while doing data munging.
Frequently asked questions
- Where can I find the Master in Data Science (SMS, TU) Fundamentals of Data Science question paper 2079?
- The full Master in Data Science (SMS, TU) Fundamentals of Data Science 2079 (Board) question paper is available free on Kekkei. You can read every question online and attempt the paper under timed exam conditions.
- Does the Fundamentals of Data Science 2079 paper come with solutions?
- Yes. Every question on this Fundamentals of Data Science past paper includes a step-by-step solution, plus instant AI feedback when you attempt it on Kekkei.
- How many marks is the Master in Data Science (SMS, TU) Fundamentals of Data Science 2079 paper?
- The Master in Data Science (SMS, TU) Fundamentals of Data Science 2079 paper carries 45 full marks and is meant to be completed in 120 minutes, across 10 questions.
- Is practising this Fundamentals of Data Science past paper free?
- Yes — reading and attempting this Fundamentals of Data Science past paper on Kekkei is completely free.