Using Machine Learning to Detect Anomalies Web Traffic by Carmen Torrano
December 13, 2017. One of our hacker womens, Carmen Torrano, think about a practical case based on the analysis of algorithms applied to Machine Learning. Are you going to miss this webinar? Connect to the talk!
#CodeTalks4Devs: Using Machine Learning to Detect Anomalies Web Traffic
The world of Machine Learning is the object of a lot of talk lately. This webinar will analyze the use case of “Detecting anomalies in web traffic” with Isolation Forest algorithms. We’ll offer a practical vision by breaking down the details of how to use the Pandas datascience libraries and Scikit-Learn Machine Learning libraries, and resources like transformers and pipelines, that are so useful for transferring web traffic characteristics for analysis by the algorithms.
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