radu/Facebook-Prophet: 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. @ ec497ffba8574a0670306001aaa7c168cb1a6d54

bl b93f71540d Notebook example with sub-daily data		8 vuotta sitten
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forecasting_growth.ipynb	e51b42b336 Initial commit	9 vuotta sitten
holiday_effects.ipynb	d02b6f62b2 Update component plots in notebooks to fix axis labeling bug	9 vuotta sitten
non-daily_data.ipynb	b93f71540d Notebook example with sub-daily data	8 vuotta sitten
outliers.ipynb	e51b42b336 Initial commit	9 vuotta sitten
quick_start.ipynb	961716ba55 Add link to data CSV in Quickstart	9 vuotta sitten
trend_changepoints.ipynb	e51b42b336 Initial commit	9 vuotta sitten
uncertainty_intervals.ipynb	995fda07a9 Posterior samples function Py	8 vuotta sitten