📶Modules

Machine Learning use-cases supported in PyCaret

Supervised ML

Classification

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

• Quickstart

• API Docs

• Tutorial

Regression

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

• Quickstart

• API Docs

• Tutorial

Unsupervised ML

Clustering

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.

• Quickstart

• API Docs

• Tutorial

Anomaly Detection

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.

• Quickstart

• API Docs

• Tutorial

Time Series

Time Series

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

• Quickstart

• API Docs

• Tutorial

Datasets

Datasets

Module in PyCaret containing ML datasets. Learn More.