Tutorials#

There are multiple tutorials for different use cases divided by proficiency level.

Basic#

Get Started

Get started with the library

Backtest

How to evaluate a pipeline

Exploratory data analysis

How to make EDA using the library

Intermediate#

Regressors and exogenous data

How to use exogenous data in a pipeline

Deep learning examples

How to use neural network models

Ensembles

How to ensemble pipelines

Outliers

How to handle outliers

AutoML

How to work with AutoML utilities

Clustering

How to perform time series clustering

Feature selection

How to perform feature selection

Forecasting strategies

How to use different forecasting strategies

Mechanics of forecasting

How pipelines are making forecasts under the hood

Embedding models

How to use embedding models

Advanced#

Custom model and transform

How to define your own model and transform

Inference

How to save pipeline and use it later on new data

Hierarchical time series

How to work with hierarchical time series

Forecasting interpretation

How to perform forecast decomposition for interpretation

Classification

How to perform time series classification

Prediction intervals

How to estimate prediction intervals

Working with misaligned data

How to work with misaligned data