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RoboticsClubIITJ / ML-DL-implementation

An implementation of ML and DL algorithms from scratch in python using nothing but NumPy and Matplotlib.
BSD 3-Clause "New" or "Revised" License
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Implementing other "Anomaly Detection" Methods #134

Open kwanit1142 opened 3 years ago

kwanit1142 commented 3 years ago

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 commented 3 years ago

Completion Phase-1 :-

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