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Numerai is quickly developing open-source agent skills for you to use in the tournament. You can start architecting your very own AI scientist. For example:
codex exec --yolo "find the best neural network architecture to predict target ender"
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## Notebooks
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We highly recommend getting started with Agents using the above section. But, if you're looking to kill some time on artisan data science, you can check out our tutorial notebooks here as well:
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## Notebooks
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Try running these notebooks on Google Colab's free tier!
- Hello Numerai: Start here if you are new! Explore the dataset and build your first model. <atarget="_blank"href="https://colab.research.google.com/github/numerai/example-scripts/blob/master/numerai/hello_numerai.ipynb">
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<imgsrc="https://colab.research.google.com/assets/colab-badge.svg"alt="Open In Colab"/>
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</a>
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Start here if you are new! Explore the dataset and build your first model.
- Feature Neutralization: Learn how to measure feature risk and control it with feature neutralization. <atarget="_blank"href="https://colab.research.google.com/github/numerai/example-scripts/blob/master/numerai/feature_neutralization.ipynb">
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<imgsrc="https://colab.research.google.com/assets/colab-badge.svg"alt="Open In Colab"/>
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</a>
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Learn how to measure feature risk and control it with feature neutralization.
- Target Ensemble: Learn how to create an ensemble trained on different targets. <atarget="_blank"href="https://colab.research.google.com/github/numerai/example-scripts/blob/master/numerai/target_ensemble.ipynb">
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<imgsrc="https://colab.research.google.com/assets/colab-badge.svg"alt="Open In Colab"/>
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</a>
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Learn how to create an ensemble trained on different targets.
- Model Upload: A barebones example of how to build and upload your model to Numerai. <atarget="_blank"href="https://colab.research.google.com/github/numerai/example-scripts/blob/master/numerai/example_model.ipynb">
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<imgsrc="https://colab.research.google.com/assets/colab-badge.svg"alt="Open In Colab"/>
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</a>
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A barebones example of how to build and upload your model to Numerai.
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