March 2016
Beginner to intermediate
340 pages
7h 20m
English
Content preview from R Machine Learning By ExampleBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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We have analyzed our dataset, performed necessary feature engineering and statistical tests, built visualizations, and gained substantial domain knowledge about credit risk analysis and what kind of features are considered by banks when they analyze customers. The reason why we analyzed each feature in the dataset in detail was to give you an idea about each feature that is considered by banks when analyzing credit rating for customers. This was to give you good domain knowledge understanding and also to help you get familiar with the techniques of performing an exploratory and descriptive analysis of any dataset in the future. So, what next? Now comes the really interesting part of using this dataset; building feature sets from this ...
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