Jakob Gerstenlauer jakobgerstenlauer

• Stuttgart, Germany

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2. Predict the activity of smartphone users (walking, sitting, lying) based on high dimensional sensor data.

   R

3. We downloaded and processed ten years of historic log data from the Tor project. Then we used boosted regression trees and generalized linear models to predict malicious exit nodes.

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4. Upload spreadsheet data to DHIS2.

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5. This is a Scala implementation of kernelized support vector machines for binary classification based on a stochastic gradient descent algorithm.

   Scala

6. A linear algebra and machine learning in Scala hands-on based on a Databricks community cloud notebook using Breeze and Spark MLlib.

   HTML 1