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Course Outline
Introduction
Anomaly Detection
- Types of anomalies
- Causes of anomalies
- Zscore, Dbscan, and isolation forest
Anomaly Detection Algorithms
- Univariate space
- Low-dimensional space
- High-dimensional space
Preparing the Development Environment
- Installing and configuring SAS
Univariate Space
- Working with algorithms
- Masking and swamping effects
Low-Dimensional Space
- Working with algorithms
High-Dimensional Space
- Working with algorithms
Summary and Conclusion
Requirements
14 Hours
Testimonials (4)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
The trainer was very available to answer all te kind of question I did
Caterina - Stamtech
Course - Developing APIs with Python and FastAPI
Transfer of practical knowledge and experience of the trainer.
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
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