Python Libraries for Time Series Analysis
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01.
sktime provides an easy-to-use, flexible and modular open-source framework for a wide range of time series machine learning tasks.
02.
Pmdarima is a statistical library designed to fill the void in Python's time series analysis capabilities
03.
tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called features.
04.
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
05.
StatsForecast offers a collection of widely used univariate time series forecasting models, including automatic ARIMA and ETS modeling optimized for high performance using numba
06.
PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows.
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