Getting Familiar with the PyCaret Environment
Explore how to initialize the PyCaret environment for anomaly detection by using the setup() function. Understand the built-in data preprocessing capabilities including imputation, transformation, and normalization. This lesson helps you prepare data pipelines effectively for model training and deployment with PyCaret.
We'll cover the following...
We'll cover the following...
Initializing the PyCaret environment
The setup() function initializes the PyCaret environment and creates a pipeline that prepares the data for model ...