Data Science Live BookPablo Casas R for Data ScienceGarrett Grolemund and Hadley Wickham - RStudio Feature Engineering and Selection: A Practical Approach for Predictive ModelsMax Kuhn and Kjell Johnson- RStudio Interpretable Machine Learning- A Guide for Making Black Box Models ExplainableChristoph Mol...
Princeton - Reproducibility Crisis in ML‑based Science Book, Examples scikit-learn - Permutation Importance (can be used on any trained classifier) and Partial Dependence shap - Explain predictions of machine learning models, talk, Good Shap intro. shapiq - Shapley interaction quantification. treein...
Book chapterFull text access Index Pages 533-543 View PDF View chapter Select Praise Book chapterNo access Praise Pages 545-548 Purchase View chapter About the book Description Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner...
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The book can serve as a textbook in business, marketing research, statistics, management information systems, computer science, information science, quantitative methods, decision science, and operations research. It may be used as a standalone introduction to data and text mining or as a technical...
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These books cover all parts of data science, from statistics to advanced machine learning algorithms. You will review data science interviews, understand how to manage data, and learn all the basics to get started. One book to rule them all. ...
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International Research Journal of Advanced Engineering and Science - Data Analysis and its Importance (PDF)(Jan. 14, 2025) (Show more) See all related content data analysis, the process of systematically collecting, cleaning, transforming, describing, modeling, and interpretingdata, generally employing...