PyCaret: Anatomy of Classification

In the PyCaret: Anatomy of Classification course, you'll delve into the world of PyCaret, a low-code machine learning library in Python. Over the 2-hour and 10-minute duration, you will master the setup of the PyCaret environment and gain familiarity with various data preparation tasks. The course will guide you through the process of creating, comparing, and evaluating the performance of multiple models, allowing you to gain a deeper understanding of model tuning without exhaustive searches. Additionally, you will learn to create compelling visuals of models and feature importance.

Throughout the course, you will take all the necessary steps from environment setup to model performance, multi-model stacking, and visualizations. This comprehensive learning journey will equip you with the skills and knowledge required to confidently navigate the world of classification using PyCaret.

• Learn to set up the PyCaret environment and perform data preparation tasks
• Create, compare, and evaluate the performance of multiple models
• Gain a deeper understanding of model tuning without exhaustive searches
• Create compelling visuals of models and feature importance