> For the complete documentation index, see [llms.txt](https://docs.adialab.crunchdao.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.adialab.crunchdao.com/participate/advanced-material.md).

# Advanced Material

Here you will find some suggestions on how to tackle the problem. We provide two notebooks with different approaches.

This tutorial notebook includes sections on data exploration, feature engineering, validation and linear models

{% embed url="<https://colab.research.google.com/github/crunchdao/adialab-notebooks/blob/main/advanced_exploratory_data_analysis.ipynb>" %}
Advanced EDA
{% endembed %}

{% embed url="<https://github.com/crunchdao/adialab-notebooks/blob/main/advanced_exploratory_data_analysis.ipynb>" %}
Advanced EDA
{% endembed %}

Finally, this tutorial notebook includes a more advanced modeling attempt using a boosting model, a custom loss function, and hyperparameter optimization.

{% embed url="<https://colab.research.google.com/github/crunchdao/adialab-notebooks/blob/main/advanced_modelling_analysis.ipynb>" %}
Advanced modeling
{% endembed %}

{% embed url="<https://github.com/crunchdao/adialab-notebooks/blob/main/advanced_modelling_analysis.ipynb>" %}
Advanced modeling
{% endembed %}

The models trained in these notebooks can be used as a baseline for the competition. We encourage you to surpass them!