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We will start off just by looking at the dataset from a visual perspective and see if we can find the anomalies.
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The dataset will contain just two columns.
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Which is the best case study for data mining?
Brandon Shockley of 160over90 describes the agency’s data-mining journey, from early prototypes to actionable consumer insights. Jeremy Osinski and Todd Marlin of Ernst and Young discuss how machine learning can help understand and predict employees’ and stakeholders’ intentions.
Who is the data scientist for rapidminer.com?
Learn how to create a confusion matrix and better understand your model’s results. In Part 2 of this Lightning Demo, Scott Genzer (Data Scientist at RapidMiner) will take the prepared data set from Part 1 and show how to build, validate, and score a multi-horizon forecasting model.
How can RapidMiner be used to detect fraud?
In this demonstration, Rodrigo explains a proof of concept architecture used to score HTTP requests, detect attackers and block them using RapidMiner Real-Time Scoring. Fraud detection is usually manual and labor-intensive. At scale it can be a tricky problem to tackle. However, if you apply AI properly you can both save time and be more effective.
What do you need to know about RapidMiner platform?
In this whitepaper, we discuss how the RapidMiner Platform complies with security standards – providing authentication, authorization, accountability, and data encryption. Learn how RapidMiner helps harness data to meet customers’ changing needs, while effectively assessing and protecting against new horizons of risk.
Last Update: Oct 2021
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