PyCaret: Anatomy of Classification

4.4
11 個評分
提供方
Coursera Project Network
在此指導項目中,您將:

All the steps from environment setup, model performance, multi model stacking to visualizations

Clock2 hours 10 minutes
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 10 mins long project-based course, you will learn how to set up PyCaret Environment and become familiar with the variety of data preparing tasks done during setup, be able to create, see and compare performance of several models, learn how to tune your model without doing an exhaustive search, create impressive visuals of models, feature importance and much more. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培養的技能

  • Auto ML
  • Data Science
  • Machine Learning
  • classification

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. Import Data, Initial dataset check and setup Pycaret(install and set up environment)

  2. Compare model performance

  3. Create best performing models

  4. Hyper Parameter tuning the models

  5. Stacking, Blending & Ensemble multiple models

  6. Visualize performance

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

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