hi there. my data consists of several features (numeric) and a label column (also numeric). I want to compute the driver strength of the features, so a measure of how strong are they influencing the label. To compute the correlation is not doing the job because the inter-correlation (how the several features influence each other) is too big.
some ways to do this (e.g. in R studio) are called LISREL or LMG. There should be other multivariate analyis. Developing in python would be good.
Need results soon. happy to hear your thoughts.
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Hello, I'm a data scientist expert in my field. I've got many certifications in R for data science and machine learning and I have great technical and writing abilities. I can help through your project and satisfy you.
Hello there, I am an analytics consultant with more than 6 years of experience working with clients across the globe on data analysis using SAS and R. Please ping for further discussion. Best, Yash