# Tutorials

### tutorials/

<table><thead><tr><th>Tutorial</th><th width="270.3333333333333">Module</th><th align="center">Link</th></tr></thead><tbody><tr><td>Binary Classification </td><td><code>pycaret.classification</code></td><td align="center"><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Binary%20Classification.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Binary%20Classification.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Binary%20Classification.ipynb">NBViewer</a></td></tr><tr><td>Multiclass Classification</td><td><code>pycaret.classification</code></td><td align="center"><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Multiclass%20Classification.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Multiclass%20Classification.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Multiclass%20Classification.ipynb">NBViewer</a></td></tr><tr><td>Regression</td><td><code>pycaret.regression</code></td><td align="center"><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Regression.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Regression.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Regression.ipynb">NBViewer</a></td></tr><tr><td>Time Series Forecasting</td><td><code>pycaret.time_series</code></td><td align="center"><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Time%20Series%20Forecasting.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Time%20Series%20Forecasting.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Time%20Series%20Forecasting.ipynb">NBViewer</a></td></tr><tr><td>Clustering</td><td><code>pycaret.clustering</code></td><td align="center"><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Clustering.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Clustering.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Clustering.ipynb">NBViewer</a></td></tr><tr><td>Anomaly Detection</td><td><code>pycaret.anomaly</code></td><td align="center"><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Anomaly%20Detection.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Anomaly%20Detection.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Anomaly%20Detection.ipynb">NBViewer</a></td></tr></tbody></table>

### tutorials/time\_series/forecasting

<table><thead><tr><th width="236.33333333333331">Tutorial</th><th width="272">Module</th><th>Link</th></tr></thead><tbody><tr><td>Univariate without exogeneous - Part 1</td><td><code>pycaret.time_series</code></td><td><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_without_exogeneous_part1.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_without_exogeneous_part1.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_without_exogeneous_part1.ipynb">NBViewer</a></td></tr><tr><td>Univariate without exogeneous - Part 2</td><td><code>pycaret.time_series</code></td><td><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_without_exogeneous_part2.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_without_exogeneous_part2.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_without_exogeneous_part2.ipynb">NBViewer</a></td></tr><tr><td>Univariate without exogeneous - Part 3</td><td><code>pycaret.time_series</code></td><td><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_without_exogeneous_part3.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_without_exogeneous_part3.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_without_exogeneous_part3.ipynb">NBViewer</a></td></tr><tr><td>Univariate with exogeneous - Part I</td><td><code>pycaret.time_series</code></td><td><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_with_exogeneous_part1.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_with_exogeneous_part1.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_with_exogeneous_part1.ipynb">NBViewer</a></td></tr><tr><td>Univariate with exogeneous - Part 2</td><td><code>pycaret.time_series</code></td><td><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_with_exogeneous_part2.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_with_exogeneous_part2.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_with_exogeneous_part2.ipynb">NBViewer</a></td></tr><tr><td>Univariate with exogeneous - Part 3</td><td><code>pycaret.time_series</code></td><td><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_with_exogeneous_part3.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_with_exogeneous_part3.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/univariate_with_exogeneous_part3.ipynb">NBViewer</a></td></tr><tr><td>Customizing experiments</td><td><code>pycaret.time_series</code></td><td><a href="https://colab.research.google.com/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/customizing_experiments.ipynb">Colab</a> | <a href="https://github.com/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/customizing_experiments.ipynb">GitHub</a> | <a href="https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/time_series/forecasting/customizing_experiments.ipynb">NBViewer</a></td></tr></tbody></table>

{% hint style="info" %}
For more examples, check out our [examples](https://github.com/pycaret/examples) repository.

Looking for video content? Check out this [section.](/docs/learn-pycaret/videos.md)
{% endhint %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://pycaret.gitbook.io/docs/get-started/tutorials.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.