Engineering B.E. (Computer Engineering) Sem 8 Applied Data Science May 2023 Question Paper - Mumbai University | munotes
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Semester-end · Applied Data Science
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Questions asked in this paper
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Q1 Question number 1 is compulsory
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Q2 Attempt any three out of the remaining five questions
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Q3 Assume suitable data if necessary and justify the assumptions
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Q4 Figures to the right indicate full marks
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Q1 Attempt any four 20 marks
- a) Explain in brief the objectives of Data Exploration
- b) Explain in brief the taxonomy of time series forecasting
- c) What are the outliers in the dataset? State the reasons for the outliers
- d) Explain validation techniques bootstrap and cross-validation
- e) State the importance of Data Visualization. State the purpose of scatter plots,
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Q2 a) Given data of 10 companies. Find out the type of correlation between advertisement expenses and sales volume using Karl Pearson’s coefficient of correlation method 10 marks
- b) Explain the data science process in detail 10
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Q3 the density-based outlier detection approach 10 marks
- b) Explain SMOTE in detail 10
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Q4 Explain the working of the Auto Regressive Integrated Moving Average 10 marks
- b) The data given shows salary packages (in lakhs) offered after a campus 10 interview. Find the coefficient of skewness using Bowley’s method
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Q5 a) What are the attributes of time series decomposition? Explain the classical 10 marks
- b) In certain food experiment to compare two types of baby foods A and B, 10 the following results of the increase in weight (lbs) we observed in 8 children as follows Examine the significance of the increase in weight of children due to food
- B. (Given t-value at alpha=0.05 is 2.365)
- a) Explain how the time-series approach is used to forecast the demand fora 10
- b) Explain how predictive modelling can be applied to the House price 10
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