tutorials.rst

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.

• Binary Classification Tutorial - Level Beginner (CLF101)
• Binary Classification Tutorial - Level Intermediate (CLF102)
• Multiclass Classification Tutorial - Level Beginner (MCLF101)

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 - Level Beginner (REG101)
• Regression Tutorial - Level Intermediate (REG102)

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 - Level Beginner (CLU101)

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 - Level Beginner (ANO101)