Machine Learning - Anomaly Detection via PyCaret

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Machine Learning - Anomaly Detection via PyCaret

Coursera · Intermediate ·📐 ML Fundamentals ·3mo ago

Key Takeaways

Performs anomaly detection using PyCaret and creates, visualizes, and compares algorithms

Original Description

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 External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Yes, another tree classifier. Here's what building one from scratch taught me.
Building a tree classifier from scratch provides valuable insights into machine learning fundamentals, despite not outperforming XGBoost
Dev.to · new_char
📰
Machine Learning for Beginners: A Simple Guide That Actually Makes Sense
Learn the basics of machine learning in a simple and understandable way to improve your skills and career prospects
Medium · Machine Learning
📰
Machine Learning for Beginners: A Simple Guide That Actually Makes Sense
Learn the basics of machine learning in a simple and understandable way, perfect for beginners
Medium · Data Science
📰
Machine Learning for Beginners: A Simple Guide That Actually Makes Sense
Learn the basics of machine learning with a simple and intuitive guide, perfect for beginners
Medium · Programming
Up next
Arrays vs Lists: What AI Actually Prefers | Common Tech Interview Questions
SCALER
Watch →