Removing Outliers. Understanding How and What behind the Magic.
<p>An <a href="https://www.analyticsvidhya.com/blog/2021/05/detecting-and-treating-outliers-treating-the-odd-one-out/?utm_source=Backlink&utm_medium=SEO" rel="noopener ugc nofollow" target="_blank">outlier</a> is any piece of data that is at abnormal distance from other points in the dataset. To us humans looking at few values at <em>guessing </em>outliers is easy.</p>
<p>Take a look at this, Can you guess which are outliers?</p>
<p>[25, 26, 38, 34, 3, 33, 23, 85, 70, 28, 27]</p>
<p>Well my friend, here, 3, 70, 85 are outliers.</p>
<p>But consider this, as a Data Scientist, we might have to analyze hundreds of columns containing thousands or even millions of values. And you will immediately come to the conclusion that this method of <em>guessing</em> is just not feasible.</p>
<p><a href="https://medium.com/analytics-vidhya/removing-outliers-understanding-how-and-what-behind-the-magic-18a78ab480ff"><strong>Click Here</strong></a></p>