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  2. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    Pandas is built around data structures called Series and DataFrames. Data for these collections can be imported from various file formats such as comma-separated values, JSON, Parquet, SQL database tables or queries, and Microsoft Excel. [8] A Series is a 1-dimensional data structure built on top of NumPy's array.

  3. Group by (SQL) - Wikipedia

    en.wikipedia.org/wiki/Group_by_(SQL)

    A GROUP BY statement in SQL specifies that a SQL SELECT statement partitions result rows into groups, based on their values in one or several columns. Typically, grouping is used to apply some sort of aggregate function for each group. [1] [2]

  4. Spearman's rank correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Spearman's_rank_correlation...

    The Spearman correlation coefficient is defined as the Pearson correlation coefficient between the rank variables. [6]For a sample of size , the pairs of raw scores (,) are converted to ranks ⁡ [], ⁡ [] , and is computed as

  5. Pearson correlation coefficient - Wikipedia

    en.wikipedia.org/wiki/Pearson_correlation...

    The Pandas and Polars Python libraries implement the Pearson correlation coefficient calculation as the default option for the methods pandas.DataFrame.corr and polars.corr, respectively. Wolfram Mathematica via the Correlation function, or (with the P value) with CorrelationTest. The Boost C++ library via the correlation_coefficient function.

  6. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

  7. Kernel density estimation - Wikipedia

    en.wikipedia.org/wiki/Kernel_density_estimation

    Kernel density estimation of 100 normally distributed random numbers using different smoothing bandwidths.. In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights.

  8. University of Alberta - Wikipedia

    en.wikipedia.org/wiki/University_of_Alberta

    The University of Alberta (also known as U of A or UAlberta, French: Université de l'Alberta) is a public research university located in Edmonton, Alberta, Canada.It was founded in 1908 by Alexander Cameron Rutherford, [8] the first premier of Alberta, and Henry Marshall Tory, [9] the university's first president.

  9. Sex differences in education - Wikipedia

    en.wikipedia.org/wiki/Sex_differences_in_education

    It is also important to consider two aspects of boys and literacy education as raised in the Booth article, which draws from the 2002 work of Smith and Wilhelm. The first is achievement; boys typically take longer to learn than girls do, although they excel over girls when it comes to "information retrieval and work-related literacy tasks". [70]