timeseries-notebooks

There are many time series packages list here

Surprisingly few contain the most basic "hello world" univariate example: predicting the (k+1)'th number in a sequence.

So here they are.

Name		Name	Last commit message	Last commit date
Latest commit History 48 Commits
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
anticipy_hello.ipynb		anticipy_hello.ipynb
auto_timeseries_hello.ipynb		auto_timeseries_hello.ipynb
deepecho_hello.ipynb		deepecho_hello.ipynb
divinity_hello.ipynb		divinity_hello.ipynb
fbprophet_hello.ipynb		fbprophet_hello.ipynb
filterpy_hello.ipynb		filterpy_hello.ipynb
hello_mssa.ipynb		hello_mssa.ipynb
hello_pycaret.ipynb		hello_pycaret.ipynb
install_timemachines.ipynb		install_timemachines.ipynb
merlion_test_flat_line.ipynb		merlion_test_flat_line.ipynb
mkalgo.ipynb		mkalgo.ipynb
mkalgo_hello.ipynb		mkalgo_hello.ipynb
neuralprophet_hello.ipynb		neuralprophet_hello.ipynb
orbit_hello.ipynb		orbit_hello.ipynb
pmdarmia_hello.ipynb		pmdarmia_hello.ipynb
pycaret_microprediction_timemachines.ipynb		pycaret_microprediction_timemachines.ipynb
pycaret_ts_univariate.ipynb		pycaret_ts_univariate.ipynb
pydlm_hello.ipynb		pydlm_hello.ipynb
pyflux_hello.ipynb		pyflux_hello.ipynb
pykalman_hello.ipynb		pykalman_hello.ipynb
pytorch_forecasting_hello.ipynb		pytorch_forecasting_hello.ipynb
river_hello.ipynb		river_hello.ipynb
simdkalman_hello.ipynb		simdkalman_hello.ipynb
simdkalman_hello_again.ipynb		simdkalman_hello_again.ipynb
sktime_hello.ipynb		sktime_hello.ipynb
stumpy_hello.ipynb		stumpy_hello.ipynb
tcn_surrogate_experiment.ipynb		tcn_surrogate_experiment.ipynb
tigramite_hello.ipynb		tigramite_hello.ipynb
time_series_recommendations.ipynb		time_series_recommendations.ipynb
tsBNgen_hello.ipynb		tsBNgen_hello.ipynb
tsgnben_hello.ipynb		tsgnben_hello.ipynb

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edwinnglabs/timeseries-notebooks

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