Implementing other "Anomaly Detection" Methods

[kwanit1142]

After Numerical Outlier Method, other "Anomaly Detection" Methods are also required to be implemented as well. Below are some of the Resources:-

https://archive.siam.org/meetings/sdm10/tutorial3.pdf https://www.analyticsvidhya.com/blog/2019/02/outlier-detection-python-pyod/ <----------(Refer from here) https://pyod.readthedocs.io/en/latest/ <-------------------------------------------(Famous Toolkit for Outlier Detection Models)

https://towardsdatascience.com/a-brief-overview-of-outlier-detection-techniques-1e0b2c19e561 https://datascience.stackexchange.com/questions/6547/open-source-anomaly-detection-in-python https://www.bmc.com/blogs/machine-learning-anomaly-detection/

[kwanit1142]

Completion Phase-1 :-

Numerical Outlier detection using Interquartile Method and Z-Score Method- Siddharth Singh