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

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

    The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...

  3. 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.

  4. Waffle House Index - Wikipedia

    en.wikipedia.org/wiki/Waffle_House_Index

    The Waffle House Index is a metric named after the ubiquitous Southern US restaurant chain Waffle House known for its 24-hour, 365-day service. [1] Since this restaurant always remains open (except in extreme circumstances), it has given rise to an informal but useful metric to determine the severity of a storm and the likely scale of ...

  5. American Housing Survey - Wikipedia

    en.wikipedia.org/wiki/American_Housing_Survey

    The American Housing Survey (AHS) [1] is a statistical survey funded by the United States Department of Housing and Urban Development (HUD) and conducted by the U.S. Census Bureau.

  6. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Users may have particular data points of interest within a data set, as opposed to the general messaging outlined above. Such low-level user analytic activities are presented in the following table. The taxonomy can also be organized by three poles of activities: retrieving values, finding data points, and arranging data points. [78] [79] [80 ...

  7. If we started with Prices then take fractional differences, we no longer are in Price units. determining the order of differencing to make a time series stationary may be an iterative, exploratory process. Compute plain ARMA terms via the usual methods to fit to this stationary temporary data set which is in ersatz units.

  8. Benford's law - Wikipedia

    en.wikipedia.org/wiki/Benford's_law

    This is an accepted version of this page This is the latest accepted revision, reviewed on 17 January 2025. Observation that in many real-life datasets, the leading digit is likely to be small For the unrelated adage, see Benford's law of controversy. The distribution of first digits, according to Benford's law. Each bar represents a digit, and the height of the bar is the percentage of ...

  9. Chi-square automatic interaction detection - Wikipedia

    en.wikipedia.org/wiki/Chi-square_automatic...

    Luchman, J.N.; CHAIDFOREST: Stata module to conduct random forest ensemble classification based on chi-square automated interaction detection (CHAID) as base learner, Available for free download, or type within Stata: ssc install chaidforest. IBM SPSS Decision Trees grows exhaustive CHAID trees as well as a few other types of trees such as CART.