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  2. Template : Diseases of the skin and appendages by morphology

    en.wikipedia.org/wiki/Template:Diseases_of_the...

    To change this template's initial visibility, the |state= parameter may be used: {{Diseases of the skin and appendages by morphology | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar. {{Diseases of the skin and appendages by morphology | state = expanded}} will show the template expanded, i.e. fully ...

  3. Morphological analysis (problem-solving) - Wikipedia

    en.wikipedia.org/wiki/Morphological_analysis...

    Among others, Zwicky applied morphological analysis to astronomical studies and jet and rocket propulsion systems. As a problem-structuring and problem-solving technique, morphological analysis was designed for multi-dimensional, non-quantifiable problems where causal modelling and simulation do not function well, or at all.

  4. Swiss-model - Wikipedia

    en.wikipedia.org/wiki/Swiss-model

    In this mode the input is a project file that can be generated by the DeepView (Swiss Pdb Viewer) visualization and structural analysis tool, [4] to allow the user to examine and manipulate the target-template alignment in its structural context. In all three cases the output is a pdb file with atom coordinates of the model or a DeepView ...

  5. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  6. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Applied 12-degree linear prediction analysis to it to obtain a discrete-time series with 12 cepstrum coefficients. 640 Text Classification 1999 [128] [129] M. Kudo et al. Parkinson's Telemonitoring Dataset Multiple recordings of people with and without Parkinson's Disease. Sound features extracted. 5875 Text Classification 2009 [130] [131]

  7. Category:Disease and disorder templates - Wikipedia

    en.wikipedia.org/wiki/Category:Disease_and...

    [[Category:Disease and disorder templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Disease and disorder templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.

  8. Uplift modelling - Wikipedia

    en.wikipedia.org/wiki/Uplift_modelling

    Uplift modelling, also known as incremental modelling, true lift modelling, or net modelling is a predictive modelling technique that directly models the incremental impact of a treatment (such as a direct marketing action) on an individual's behaviour.

  9. Data set - Wikipedia

    en.wikipedia.org/wiki/Data_set

    Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936). [1]A data set (or dataset) is a collection of data.In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question.