Ensemble Methods in Machine Learning

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

Implement Bagging

Implement Boosting

Implement Stacking

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 implement various ensemble techniques and use it in machine learning. Ensemble models in machine learning combine the decisions from multiple models to improve the overall performance, The main causes of error in learning models are due to noise, bias and variance, Ensemble methods help to minimize these factors.

您要培養的技能

  • Machine Learning
  • Boosting
  • Bagging
  • Stacking

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. Implement Bagging

  2. Bagging Algorithms

  3. Implement Boosting

  4. Boosting Algorithms

  5. Implement Stacking

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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