Machine Learning - Anomaly Detection via PyCaret

提供方
Coursera Project Network
在此指導項目中,您將:

Anomaly Detection Models

Clock2 hours
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

  • Anomaly Detection
  • Machine Learning
  • Data Visualization (DataViz)
  • PyCaret

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. 1. Import data and exploratory anomalies detection analysis

  2. 2. Setup PyCaret environment for anomaly detection

  3. 3. Select and create models

  4. 4. Compare anomalies in models

  5. 5. visualize, interpret decision, and save the model

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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