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 Fa 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 | Fa |
| Full marks | 45 |
| Time allowed | 120 minutes |
| Questions | 10, all with step-by-step solutions |
Group A
Explain your understanding of data science as multidisciplinary field.
What do you mean by data standardization? List out the techniques used for data standardization.
How machine learning is different from traditional programming? What actually machine learns through machine learning? Justify your answer.
What do you mean by biasness and fairness in data science? Why are they necessary to address in data science?
What do you mean by deep learning? How is it similar/different to Neural Network?
Group B
Explain the CRISP-DM lifecycle for data mining process.
OR
Explain the TDSP lifecycle for data science.
What do you mean by missing data? How are they handled in data science process?
Fit the linear regression in the given data
| X | Y |
|---|---|
| 10 | 24.06 |
| 20 | 43.91 |
| 30 | 64.1 |
And predict the output if .
Explain neural network along with forward propagation and back propagation.
OR
Differentiate between Regression and Classification in supervised learning.
Explain the different biases that are likely to occur during data science lifecycle.
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 (Fa) 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.