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16 lines
1.1 KiB
Markdown
16 lines
1.1 KiB
Markdown
---
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layout: home
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title: Prophet
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id: home
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---
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## Watch Introductory Video
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<div class="videoBlock">
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<iframe width="560" height="315" src="https://www.youtube.com/embed/eJrbKU09h-0" title="Explain Like I'm 5: Prophet" frameBorder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowFullScreen ></iframe>
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</div>
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Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
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Prophet is [open source software](https://code.facebook.com/projects/) released by Facebook's [Core Data Science team](https://research.fb.com/category/data-science/). It is available for download on [CRAN](https://cran.r-project.org/package=prophet) and [PyPI](https://pypi.python.org/pypi/prophet/).
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{% include content/gridblocks.html data_source=site.data.features layout="fourColumn" align="left" %}
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