I have a csv files of thousands of lines, the data is put down into a Dataframe of columns. Some of the column have text information while others might have numbers. I want to detect anomalies or outliers inside this csv file.
Being relatively new to this and not knowing much I would appreciate if I get some help or a small guidance and how I should tackle this problem. What methods or what is the best approach to find outliers in a Dataframe.
My language of choice is Python
anomaly detection
. Andrew Ng course has several videos on the subject. $\endgroup$ – Xaqron Jan 13 '20 at 11:22