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3-monitor-the-model.md

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@@ -59,6 +59,7 @@ We will now import and explore the weather data-set:
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## Load the data
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If you have not downloaded the data yet, you can also load it directly from Zenodo:
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```python
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import pandas as pd
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data = pd.read_csv("https://zenodo.org/record/5071376/files/weather_prediction_dataset_light.csv?download=1")
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```
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fig/.gitkeep

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md5sum.txt

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"episodes/1-introduction.md" "8dabfa4853b660c8bfcb0aea5f435029" "site/built/1-introduction.md" "2025-02-11"
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"episodes/2-keras.md" "ebddf0ec35a0e97735a1ea7f1d204a40" "site/built/2-keras.md" "2025-02-11"
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"episodes/3-monitor-the-model.md" "93984f2bd862ddc2f10ba6749950b719" "site/built/3-monitor-the-model.md" "2025-02-11"
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"episodes/3-monitor-the-model.md" "9670d999772de1cc2a5b4ec16a996acc" "site/built/3-monitor-the-model.md" "2025-05-15"
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"episodes/4-advanced-layer-types.md" "97b49e9dad76479bcfe608f0de2d52a4" "site/built/4-advanced-layer-types.md" "2025-02-11"
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"episodes/5-transfer-learning.md" "5808f2218c3f2d2d400e1ec1ad9f1f3c" "site/built/5-transfer-learning.md" "2025-02-11"
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"episodes/6-outlook.md" "007728216562f3b52b983ff1908af5b7" "site/built/6-outlook.md" "2025-02-11"

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