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2. Take 20% Off Raycon Earbuds, Headphones and Speakers ... - AOL

   www.aol.com/entertainment/20-off-raycon-earbuds...

   These Basic Earbuds. The Work Earbuds Classic. Raycon. For everyday wear that’s easy to take in and out, these buds are the perfect pick! See it! Get The Work Earbuds Classic (originally $120 ...

3. Do Hedgehogs Make Good Pets? Yes, But There's a Catch - AOL

   www.aol.com/hedgehogs-good-pets-yes-theres...

   The real question is, do hedgehogs make good pets or not? The short answer is, yes, they can - but there's a catch. Actually, there's several big catches, which is why we should break this ...

4. One-drop rule - Wikipedia

   en.wikipedia.org/wiki/One-drop_rule

   The one-drop rule was a legal principle of racial classification that was prominent in the 20th-century United States. It asserted that any person with even one ancestor of black ancestry ("one drop" of "black blood") [ 1][ 2] is considered black ( Negro or colored in historical terms). It is an example of hypodescent, the automatic assignment ...

5. Pearson correlation coefficient - Wikipedia

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

   Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.

6. The Biden campaign drafted questions for the president's ...

   www.aol.com/news/biden-campaign-approved...

   President Joe Biden 's campaign provided lists of approved questions to two radio hosts who did the first interviews with him after his faltering debate performance, both hosts said on Saturday.

7. k-nearest neighbors algorithm - Wikipedia

   en.wikipedia.org/wiki/K-nearest_neighbors_algorithm

   In statistics, the k-nearest neighbors algorithm(k-NN) is a non-parametricsupervised learningmethod first developed by Evelyn Fixand Joseph Hodgesin 1951,[1]and later expanded by Thomas Cover.[2] It is used for classificationand regression. In both cases, the input consists of the kclosest training examples in a data set.