Machine Learning - Anomaly Detection via PyCaret

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Machine Learning - Anomaly Detection via PyCaret

Coursera · Intermediate ·📐 ML Fundamentals ·1mo ago
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.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

I Built a Graph-Based SAS to PySpark Migration Accelerator. Here’s What I Learned.
Learn how to migrate SAS to PySpark using a graph-based accelerator and discover key takeaways from a real-world project
Medium · LLM
Python Programming Course in Delhi
Learn Python programming with a practical course in Delhi, designed for beginners and students
Medium · Python
Choosing the Right Architecture: A Software Engineer’s Field Guide to Neural Networks
Learn to choose the right neural network architecture for your AI project and understand the key considerations involved
Medium · Data Science
Chandra OCR 2: When Open Source Reads What Others Miss
Improve text extraction from documents with Chandra OCR 2, an open-source solution that outperforms others in accuracy
Medium · Machine Learning
Up next
Computational Thinking with JavaScript 2: Model & Analyse
Coursera
Watch →