In this video we look at local outlier factor with python looking at finding outliers in multidimensional space.
We first make a random dataset looking a local neighbourhoods of bank charges and amounts then introduce a number of local outlier to see if we can find them with the local outlier factor algorithm.
Finally, we look at graphing the local outlier factor to take visual look at the normal neighbourhoods and points with a large local outlier factor (LOF) value.
The code for this video is available on GitHub at the following link. https://github.com/SuperDataWorld/Python/blob/main/LOF.ipynb
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Outlier Detection in Python - LOCAL OUTLIERS FACTOR (LOF) | NatokHD