Data Anomaly Detection
Anomaly detection is integral to any data scientist's work: high-quality, cleaned, and well-prepared data is the key to success for almost any machine learning problem.Course
Gain insight into a topic and learn the fundamentals5.0
(1)
- Grasp the fundamentals and importance of anomaly detection in data analysis.
- Explore various statistical methods to identify outliers in data.
- Understand machine learning techniques to detect and handle anomalies.
- Learn to apply the 1.5 IQR Rule and 3-Sigma Rule for detecting outliers.
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There are 6 modules in this course
Anomaly detection is integral to any data scientist's work: high-quality, cleaned, and well-prepared data is the key to success for almost any machine learning problem.Chosen by students of top schools
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Milena Hristova
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Reviewed on Jul 7, 2024
I'm satisfied!
Recommended if you're interested in learning Python
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Embrace the fascination of Tech Skills! Our AI-assistant provides real-time feedback, personalized hints, and error explanations, empowering you to learn with confidence.
With Workspaces, you can create and share projects directly on our platform. We've prepared templates for your convenience
Take control of your career development and commence your path into mastering the latest technologies
Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers
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