PyCaret: Anatomy of Classification

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

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

Clock2 hours 10 minutes
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 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.

您要培养的技能

  • Auto ML
  • Data Science
  • Machine Learning
  • classification

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. 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

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