question archive 1) As a data analyst, you should perform data exploration, visualization, and pre-processing before proceeding directly to applying any high-powered predictive techniques
1) As a data analyst, you should perform data exploration, visualization, and pre-processing before proceeding directly to applying any high-powered predictive techniques
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1) As a data analyst, you should perform data exploration, visualization, and pre-processing before proceeding directly to applying any high-powered predictive techniques.
a) Why do we need to determine Measurement Scale/Level for each attribute before we perform any data mining task? (5 marks)
b) What are you trying to achieve or identify in data exploration, visualization, and pre-processing? If you skip these steps, what are the potential consequences to your modelling results from predictive techniques such as decision tree, logistic regression, and neural network? (12 marks)
c) What are the different methods and/or tools you can use in these steps? (8 marks)
