Master in Data Science (SMS, TU) Fundamentals of Data Science Question Paper 2080 Nepal
This is the official Master in Data Science (SMS, TU) Fundamentals of Data Science question paper for 2080, 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 2080 paper is a great way to practise under real exam conditions.
| Level | Master in Data Science (SMS, TU) |
|---|---|
| Subject | Fundamentals of Data Science |
| Year | 2080 BS |
| Exam session | Board |
| Full marks | 45 |
| Time allowed | 120 minutes |
| Questions | 10, all with step-by-step solutions |
Group A
Is CRISP-DM waterfall or Agile? Support your answer with suitable example.
What are the different commonly used data formats used across data science project?
What do you mean by regression and classification? Are they supervised or unsupervised technique? Justify.
What do you mean by backpropagation? Conceptually, how do they differ from forward propagation in neural network?
How group unaware selection and adjusted group thresholds are useful for addressing bias?
Group B
Explain the different phase of OSEMN lifecycle for data science projects.
OR
What do you mean by TDSP? How does it differ from other frameworks?
Explain time series analytics with its types.
What do you mean by missing data? How do you tackle them in any data science project? Explain with example of your own.
Elaborate the concept behind Naïve Bayes algorithm for classification task.
Apply map-reduce to the following set of data:
Data, Science, Engineering
Engineering, Data, Analytics
Analytics, Intelligence, Science
OR
What is Hadoop? Explain the different components of Hadoop.
Frequently asked questions
- Where can I find the Master in Data Science (SMS, TU) Fundamentals of Data Science question paper 2080?
- The full Master in Data Science (SMS, TU) Fundamentals of Data Science 2080 (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 2080 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 2080 paper?
- The Master in Data Science (SMS, TU) Fundamentals of Data Science 2080 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.