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pietroppeter
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pymi-timeseries-forecasting-nixtla
repo for presentation at Python Milano (May 2023) on timeseries forecasting with Nixtla
MIT License
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draft of content
#3
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pietroppeter
opened
1 year ago
pietroppeter
commented
1 year ago
need to list an overview of slides
pietroppeter
commented
1 year ago
me
toolsgroup: demand forecasting in supply chain (ML)
nim
time series forecasting
why
use cases
demand forecasting
plot
with matplotlib/seaborn: passengers
with vegalite: weather
with plotly: demand (M5)
basics
naive
exp smoothing
decomposition: additive/multiplicative
benchmarking and evaluation
M4 and M5
metrics
list of timeseries libraries (R ecosystem, statsmodels, gluonts, sktime, darts, prophet, ... nixtla)
nixtla
repo overview
business: prediction at scale
statsforecast
hierarchical forecast
tsfeatures
mlforecast
neuralforecast
prophet and the zillow story? likely as a follow up slide
references
hyndman (IT!)
banachewicz on kaggle/youtube
articles by Nixtla
articles on prophet?
need to list an overview of slides