Detecting and removing outliers in your data

Sara Iris Garcia

Almost every time in a data analysis, you will inevitable find the presence of unexpected or weird values in your data. The majority of statistical and machine learning algorithms will fail to converge or generalize with dirty data, therefore It is critical for the analyst to know how to identify and remove outliers in the data. In this talk, I will show you the most common techniques to eliminate outliers in the data using Python, and will give you useful tips on how to spot them.