Anomaly Detection

The Course 3 assignment regarding Anomaly detection is all about righting the codes by ourselves. I am more interested to use libraries to find out the outlier. which library (like sklearn or scipy) will cover this topic? and what code can I use to calculate density function of the examples X under the gaussian distribution?


Here is an example in scikit-learn 2.7. Novelty and Outlier Detection — scikit-learn 1.1.2 documentation

and for calculating density functions I would turn to SciPy

And TensorFlow is working on TensorFlow Probability if you want to check that out yourself.

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