anomalies

Outliers and anomalies are data points that differ significantly from the majority of a dataset. They can be the result of variability, errors, or rare events—and they can have a significant impact on the performance of machine learning models, especially those sensitive to extreme values. So, what are the 5 ways to detect outliers and … Read more