What are the modules in PyCaret
Modules are python code that can be imported inside another python program. In this recipe, we'll learn the different types of modules that PyCaret provides.
Recipe Objective -What are the modules in PyCaret?
There are six major modules in PyCaret:
1. Classification - Classification refers to a predictive modeling problem where a class label is predicted for a given example of input data.
2. Regression - Regression, is a relationship between the dependent and independent variables. The equation is as follows: y = mx + c where, y = dependent variable. x = independent variable.
3. Clustering - Clustering or cluster analysis is a machine learning technique, which groups the unlabeled dataset.
4. Anomaly Detection - Anomaly detection is identifying data points in data that don't fit the normal patterns.
5. Natural Language Processing - Natural Language Processing (NLP) is a form of Artificial Intelligence that gives machines the ability to read and interpret human language.
6. Association Rule Mining
Learn to Build a Multi Class Image Classification Model in Python from Scratch
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