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Machine Learning - Anomaly Detection via PyCaret

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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.

Syllabus

  • Machine Learning - Anomaly Detection via PyCaret
    • Here you will describe what the project is about. It should give an overview of what the learner will achieve by completing this project.

Taught by

Muhammad Saad uddin

Reviews

3.8 rating at Coursera based on 18 ratings

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