Tutorials

Classification

Learn how to prepare the data for modeling, create a classification model, tune hyperparameters of a model, analyze the performance, and consume the model for predictions.

Regression

Learn how to prepare the data for modeling, create a regression model, tune hyperparameters of a model, evaluate model errors, and consume the model for predictions.

Regression Tutorial

Clustering

Learn how to prepare the data for modeling, create a K-Means clustering model, assign the labels, analyze results, and consume a trained model for predictions on unseen data.

Clustering Tutorial

Anomaly Detection

Learn how to prepare the data for modeling, create an unsupervised anomaly detector, evaluate the results of the trained model, and consume the model for predictions on unseen data.

Anomaly Detection Tutorial

Time Series Forecasting

Learn how to prepare the data for modeling, create and compare a time series model, analyze it, use it to make predictions, and save the model.

Time Series Forecasting Tutorial