I am currently studying the Predictive Analytics. There are two questions which I couldn't find the answer is:
(1) For what predictive analytics (such as Neural Network, Case Based Reasoning etc.) we need to normalize the data, and what is the purpose of that?
(2) Which type of data is suitable for which predictive analytics? (For example, how is the type is suitable for using Neural network, or Case Based Reasoning?)
Please give me some ideas or recommend some good sources I can read? I couldn't find articles which compare the uses of analytic models
Thank you