Machine Learning - Anomaly Detection via PyCaret

提供方
Coursera Project Network
在此指导项目中,您将:

Anomaly Detection Models

Clock2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

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

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

常见问题

常见问题

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