Detection Outliers using IQR and Z-score in ML
source link: https://www.geeksforgeeks.org/videos/detection-outliers-using-iqr-and-z-score-in-ml/
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- 05/02/2022
In this video, We will implement the Detection of outliers using IQR and Z-score using the Python Program. IQR (Interquartile Range) is used to measure variability by dividing a data set into quartiles Z-score is also known as standard score and it helps to understand if a data value is greater or smaller than the mean and how far away it is from the mean.
An outlier is a data item/object that deviates significantly from the rest of the objects. It can be occurred by measurement or execution errors. The analysis of outlier data is referred to as outlier analysis or outlier mining.
https://www.geeksforgeeks.org/z-score-for-outlier-detection-python/ https://www.geeksforgeeks.org/interquartile-range-to-detect-outliers-in-data/
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