The goals of Feature Engineering and Selection are to provide tools for re-representing predictors, to place these tools in the context of a good predictive modeling framework, and to convey our experience of utilizing these tools in practice. In the end, we hope that these tools and our experience will help you generate better models.Read more.
The techniques and tools covered in Feature Engineering and Selection: A Practical Approach for Predictive Models are most similar to the requirements found in Data Scientist job advertisements.
