Outliers Always make your life hell Part 1...
Life is all about changes, sometimes we change by inner self and sometimes by outside forces. I like machine learning because it correlates with every topic very closely to real life, i.e. how a human mind starts learning.
There is a similar topic called as outliers which you can find in every organisation, management or any other group of dataset classes. They are normally different and makes a healthy environment difficult to live in like parasites. And in such cases when they reach in management it becomes very difficult to avoid the circumstances. So now what is solution for it, while going through the outlier concept I reached to 2 solutions which is applied in Machine Learning dataset so that they can be avoided for smooth model prediction.
These 2 methods are :
Means, try to remove the outliers from your life and same we do in our dataset.
Means, keep a cap upside or downside which is normally calulated with Z Score. This means when we have unavoidable circumstances, keep a distance from the outliers.
Implementation is given in link below in Python.