1) The topmost node in a decision tree is known as the internal node. a) True b) False 2) The total number of wins in an NBA season is an example of what type of data? (choose what describe it best) a) Ordinal b) Continuous c) Discrete d) Nominal 3) Emily wishes to create a system that would help her identify the different types of employees that exist in her company's dataset. Which is the best technique that Emily should use? a) Decision tree b) Association rule mining c) Regression d) Time series analysis e) Clustering 4) What family of machine learning algorithms can be used to detect cancer? a) Regression b) Forecasting c) Classification d) Clustering 5) Gale wishes to predict house price based on location, housing square footage, rural or urban area, and population. What ML technique is best to solve this problem? a) Clustering b) Logistic regression c) Simple linear regression d) Multiple Linear regression 6) When your data has outliers, there's a tendency that the results of the k-means algorithm would be inaccurate. a) True b) False 7) Sunny went to the grocery and bought a shampoo, then a hair conditioner. Which of the products is the antecedent? a) shampoo b) hair conditioner c) soap d) manicure 8) The corona outbreak is an example of seasonal variations. a) True b) False 9) Machine learning is a subset of artificial intelligence. a) True b) False 10) Machine learning is a subset of artificial intelligence. a) True b) False 11) In unsupervised learning, the desired output is known. a) True b) False 12) Association rule algorithm is an example of what approach in data mining?30 a) Unsupervised b) Supervised 13) Market Basket Analysis creates If-Then scenario rules. The “THEN” part is called as _____________. a) antecedent b) consequent 14) Nameflix ussers are recommended shows based on their watch history. a) This is a concept of clustering. b) This depicts the concept of regression. c) This scenario is the best example of time series. 15) AI needs static data. a) True b) False

Fundamentals of Analytics Modeling

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