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This page lists all the modules of PyCaret

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Supervised ML
Unsupervised ML
Time Series
Datasets

โ€‹Classificationโ€‹

In machine learning, classification refers to a predictive modeling problem where the target to be predicted is a class label.
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โ€‹Regressionโ€‹

In machine learning, regression refers to a predictive modeling problem where the target to be predicted is a continuous variable.

โ€‹Clusteringโ€‹

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.
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โ€‹Anomaly Detectionโ€‹

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.
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Natural Language Processing is a field in Artificial Intelligence with the ability of a computer to understand, analyze, manipulate, and potentially generate human language.
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Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases.

โ€‹Time Series (beta)โ€‹

Time series forecasting is the process of analyzing time series data using statistics and modeling to make predictions and inform strategic decision-making

โ€‹Datasetsโ€‹

Module in PyCaret containing ML datasets. Learn More.
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