Machine Learning - Anomaly Detection via PyCaret
In this 2 hour long project-based course you will learn how to perform anomaly detection, its importance in machine learning, set up PyCaret anomaly detection, create, visualize & compare anomaly detection algorithms all this with just a few lines of code.
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- Level Intermediate
- Duration 3 hours
- Course by Coursera Project Network
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In this 2 hour long project-based course you will learn how to perform anomaly detection, its importance in machine learning, set up PyCaret anomaly detection, create, visualize & compare anomaly detection algorithms all this with just a few lines of code.Modules
Machine Learning - Anomaly Detection via PyCaret
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Assignment
- Graded Quiz: Test your Project understanding
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Labs
- Machine Learning – Anomaly Detection via PyCaret
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Readings
- Machine Learning - Anomaly Detection via PyCaret
Auto Summary
Discover the essentials of anomaly detection in machine learning with Coursera's project-based course, "Machine Learning - Anomaly Detection via PyCaret." Over 2 hours, this intermediate-level course dives into the significance of anomaly detection, setting up PyCaret, and creating, visualizing, and comparing algorithms with minimal code. Ideal for data science and AI enthusiasts, this course offers a comprehensive introduction to anomaly detection for free.
Muhammad Saad uddin