Good resources for learning ML with time series in Python? Some links I've found, but looking for canonical resources.

• Kats

  79 4,750 8.0 Python

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  

Link: https://github.com/facebookresearch/Kats

• darts

  47 7,272 9.1 Python

  A python library for user-friendly forecasting and anomaly detection on time series.

  

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• datascience

  4 4,071 8.3

  Curated list of Python resources for data science.

This GitHub repo maintains a good list of resources. Check out the "Time Series" section. https://github.com/r0f1/datascience

Suggest a related project