A short introduction to time series

This repository is part of a blog post that can be found here: https://www.liip.ch/en/blog/time-series-prediction-a-short-comparison-of-best-practices
The Timeseries notebook shows how to work with SARIMA and Holt Winter models
The Neural Network notebook shows how to work with a neural network in Keras
The Prophet Prediction notebook shows how to work with Facebook's time series library prophet: https://facebook.github.io/prophet/

Enjoy!

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.ipynb_checkpoints		.ipynb_checkpoints
Neural Network.ipynb		Neural Network.ipynb
Prophet prediction.ipynb		Prophet prediction.ipynb
README.md		README.md
Time series.ipynb		Time series.ipynb
daily-total-female-births.csv		daily-total-female-births.csv
monthly-car-sales.csv		monthly-car-sales.csv
monthly-mean-temp.csv		monthly-mean-temp.csv
shampoo.csv		shampoo.csv

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