March 2016
Beginner to intermediate
340 pages
7h 20m
English
In the previous chapter, we covered a lot of ground in the financial domain where we took up the challenge of detecting and predicting bank customers who could be potential credit risks. We now have a good idea about our main objective regarding credit risk analysis. Besides this, the substantial knowledge gained from descriptive analytics of the dataset and its features will be useful for predictive analytics, as we had mentioned earlier.
In this chapter, we will be journeying through the world of predictive analytics, which sits at the core of machine learning and data science. Predictive analytics encompasses several things which include classification algorithms, regression ...
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