Time Series analysis
autocorrelation
correlation
trend
detrend
seasonality
smoothing
filtering
Fourier transform
Wavelet transform
anomaly detection
random walk
ARIMA
Time series classification and clustering
parsing time
LSTM: Long Short Term Memory Networks
Packages
datetime and timedelta
dateutil: powerful extensions to the standard datetime module
numpy datetime and timedelta
pandas timeseries
statsmodels
User Guide — time series analysis https://www.statsmodels.org/dev/user-guide.html#time-series-analysis
statsmodels tsa
statsmodels.graphics.tsaplots
PyFlux: library for time series analysis and prediction
Prophet: Prophet is a procedure for forecasting time series data based on an additive model
LibROSA: music and audio analysis
traces: library for unevenly-spaced time series analysis
tslearn: tslearn-team/tslearn: A machine learning toolkit dedicated to time-series data
Tutorials
Python-for-Signal-Processing
https://nbviewer.jupyter.org/github/unpingco/Python-for-Signal-Processing/tree/master/
Pythonで音声信号処理 - 人工知能に関する断創録
http://aidiary.hatenablog.com/entry/20110514/1305377659
GitHub - microsoft/forecasting: Time Series Forecasting Best Practices & Examples
https://github.com/microsoft/forecasting
Paid Tutorials
DataCamp
Introduction to Time Series Analysis in Python
https://www.datacamp.com/courses/introduction-to-time-series-analysis-in-python
Machine Learning for Time Series Data in Python
https://www.datacamp.com/courses/machine-learning-for-time-series-data-in-python
See also
timezone