[
  {
    "path": "README.md",
    "content": "# Awesome Time Series Analysis and Data Mining\n\n[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)\n\nA collection list of learning resource, tools and dataset for time series analysis or time series data mining.\n\n## content\n1. [Tutorial](#tutorial)\n2. [Course](#course)\n3. [Book](#book)\n4. [Paper](#paper)\n5. [Tool](#tool)\n6. [Dataset](#dataset)\n7. [Models](#Models)\n\n\n## Tutorial\n- https://machinelearningmastery.com/start-here/#timeseries\n- https://github.com/lyndond/Analyzing_Neural_Time_Series\n- https://github.com/PacktPublishing/Practical-Time-Series-Analysis\n- https://github.com/AileenNielsen/TimeSeriesAnalysisWithPython\n\n\n## Course\n\n### Online Course\n- [Practical Time Series Analysis | Coursera](https://www.coursera.org/learn/practical-time-series-analysis)\n- [Time Series Analysis Time Series Analysis | MIT-Opencourseware](https://ocw.mit.edu/courses/economics/14-384-time-series-analysis-fall-2013/)\n- [Time Series Analysis | Edx](https://www.edx.org/course/time-series-analysis-0)\n- [Time Series Forecasting | Udacity](https://eu.udacity.com/course/time-series-forecasting--ud980)\n- [Policy Analysis Using Interrupted Time Series | edX](https://www.edx.org/course/policy-analysis-using-interrupted-time-ubcx-itsx-2)\n\n### Course Resource\n- [Multivariate Time Series Analysis |Chicago Booth, Ruey S. Tsay](http://faculty.chicagobooth.edu/ruey.tsay/teaching/mts/sp2017/)\n- [Time Series | Oregon State University](http://stat565.cwick.co.nz/)\n- [Statistical forecasting:notes on regression and time series analysis | duke University](http://people.duke.edu/~rnau/411home.htm)\n\n## Book\n- [Cochrane J H. Time series for macroeconomics and finance[J]. Manuscript, University of Chicago, 2005.](http://econ.lse.ac.uk/staff/wdenhaan/teach/cochrane.pdf)\n- [Forecasting: Principles and Practice. Rob J Hyndman and George Athanasopoulos](https://otexts.org/fpp2/)\n\n## Paper\n- [Time-series data mining](https://dl.acm.org/citation.cfm?id=2379788)\n- [Clustering of time series data—a survey](https://www.sciencedirect.https://otexts.org/fpp2//science/article/pii/S0031320305001305)\n\n\n## Tool\n- [python tools awesome list](https://github.com/MaxBenChrist/awesome_time_series_in_python)\n\n\n## Dataset\n- [NASDAQ 100 stock data](http://cseweb.ucsd.edu/~yaq007/NASDAQ100_stock_data.html)\n- [UCR time series dataset](https://www.cs.ucr.edu/~eamonn/time_series_data_2018/)\n\n## Models\n- [ROCKA](https://github.com/polarbear1992/Rocka)\n- [Kshape](https://github.com/johnpaparrizos/kshape)\n\n\n## License\n[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/)\n"
  }
]