As a result, it is difficult to accurately predict the strength of the final product. Although it is used in nearly every construction project, concrete performance varies greatly due to a wide variety of ingredients that interact in complex ways. Estimating the strength of concrete is a challenge of particular interest. These estimates are required in order to develop safety guidelines governing the materials used in the construction of building, bridges, and roadways. “In the field of engineering, it is crucial to have accurate estimates of the performance of building materials. Let’s jump ahead and begin to understand what information we are going to work with: Modeling the strength of concrete Feel free to leave me a comment and help me improve! Hopefully some of you will find it useful too and be sure you are going to find some judgment errors from my part and/or things you would do differently.
#CARET MODELS FULL#
If you are thinking this is nothing new, then you’re absolutely right! I’m not coming up with anything new here, just making sure I have all the tools necessary to follow a full process without leaving behind any big detail.
My intention is to expand the analysis on this dataset by executing a full supervised machine learning workflow which I’ve been laying out for some time now in order to help me attack any similar problem with a systematic, methodical approach.
I’ll use a very interesting dataset presented in the book Machine Learning with R from Packt Publishing, written by Brett Lantz.
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