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.
PyCaret: Anatomy of Classification
Coursera Project Network via Coursera
This course may be unavailable.
Overview
Syllabus
- Project Overview: Working with PyCaret
- This guided project is all about learning the fundamentals of an essential low code machine learning library PyCaret. By the end of this project you will acquire fundamental skills of installing & setting up the PyCaret environment. Create, compare & visualize models and how to use multiple models with Stacking, Blending and Ensemble. All this with just a few lines of code.
Taught by
Muhammad Saad uddin
