How to treat outliers in a #MachineLearning model — ask yourself 3 Q’s:
1) Is it a data quality problem?
2) Is it a data processing problem?
3) Is it a real discovery?
…Always investigate before disposing of outliers! Always!
http://bit.ly/2qqCX4K #abdsc #BigData #DataScience pic.twitter.com/q5XQxauVMf
Source:: https://twitter.com/KirkDBorne/status/994044842622713856
