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Modules

This page lists all the modules of PyCaret

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Supervised ML
Unsupervised ML
Time Series
Datasets
In machine learning, classification refers to a predictive modeling problem where the target to be predicted is a class label.
In machine learning, regression refers to a predictive modeling problem where the target to be predicted is a continuous variable.
Clustering is the task of dividing the population or data points into a number of groups such that data points in the same groups are more similar to other data points in the same group than those in other groups.
Anomaly detection is identifying data points in data that don't fit the normal patterns. It can be useful to solve many problems including fraud detection, medical diagnosis, etc.
Natural Language Processing is a field in Artificial Intelligence with the ability of a computer to understand, analyze, manipulate, and potentially generate human language.
Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases.
Time series forecasting is the process of analyzing time series data using statistics and modeling to make predictions and inform strategic decision-making

Datasets

Module in PyCaret containing ML datasets. Learn More.