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github.com | ||
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initialcommit.com
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| | | | | In this tutorial you will learn how to use the pandas.head() function and how it can be used in machine learning, as well as how to use the pandas.tail() function. | |
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lukesingham.com
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| | | | | This post goes through a binary classification problem with Python's machine learning library scikit-learn. | |
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www.anyscale.com
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| | | | | Anyscale is the leading AI application platform. With Anyscale, developers can build, run and scale AI applications instantly. | |
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simkovic.github.io
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| | | [AI summary] This post discusses the limitations of using raw score differences in ordinal data analysis, particularly when dealing with ceiling effects. The author demonstrates that raw score differences can be biased towards zero and have reduced precision in boundary regions. They advocate for using logit-based models to accurately estimate treatment effects while accounting for ordinal data structure and ceiling effects. The post includes simulations showing how ceiling effects can reduce the detectability of true effects and highlights the importance of using appropriate statistical models to avoid biased conclusions. | ||
