Repository: youngdou/awesome-time-series-analysis Branch: master Commit: 7fd2b65997fa Files: 1 Total size: 2.6 KB Directory structure: gitextract_n9clqaae/ └── README.md ================================================ FILE CONTENTS ================================================ ================================================ FILE: README.md ================================================ # Awesome Time Series Analysis and Data Mining [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) A collection list of learning resource, tools and dataset for time series analysis or time series data mining. ## content 1. [Tutorial](#tutorial) 2. [Course](#course) 3. [Book](#book) 4. [Paper](#paper) 5. [Tool](#tool) 6. [Dataset](#dataset) 7. [Models](#Models) ## Tutorial - https://machinelearningmastery.com/start-here/#timeseries - https://github.com/lyndond/Analyzing_Neural_Time_Series - https://github.com/PacktPublishing/Practical-Time-Series-Analysis - https://github.com/AileenNielsen/TimeSeriesAnalysisWithPython ## Course ### Online Course - [Practical Time Series Analysis | Coursera](https://www.coursera.org/learn/practical-time-series-analysis) - [Time Series Analysis Time Series Analysis | MIT-Opencourseware](https://ocw.mit.edu/courses/economics/14-384-time-series-analysis-fall-2013/) - [Time Series Analysis | Edx](https://www.edx.org/course/time-series-analysis-0) - [Time Series Forecasting | Udacity](https://eu.udacity.com/course/time-series-forecasting--ud980) - [Policy Analysis Using Interrupted Time Series | edX](https://www.edx.org/course/policy-analysis-using-interrupted-time-ubcx-itsx-2) ### Course Resource - [Multivariate Time Series Analysis |Chicago Booth, Ruey S. Tsay](http://faculty.chicagobooth.edu/ruey.tsay/teaching/mts/sp2017/) - [Time Series | Oregon State University](http://stat565.cwick.co.nz/) - [Statistical forecasting:notes on regression and time series analysis | duke University](http://people.duke.edu/~rnau/411home.htm) ## Book - [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) - [Forecasting: Principles and Practice. Rob J Hyndman and George Athanasopoulos](https://otexts.org/fpp2/) ## Paper - [Time-series data mining](https://dl.acm.org/citation.cfm?id=2379788) - [Clustering of time series data—a survey](https://www.sciencedirect.https://otexts.org/fpp2//science/article/pii/S0031320305001305) ## Tool - [python tools awesome list](https://github.com/MaxBenChrist/awesome_time_series_in_python) ## Dataset - [NASDAQ 100 stock data](http://cseweb.ucsd.edu/~yaq007/NASDAQ100_stock_data.html) - [UCR time series dataset](https://www.cs.ucr.edu/~eamonn/time_series_data_2018/) ## Models - [ROCKA](https://github.com/polarbear1992/Rocka) - [Kshape](https://github.com/johnpaparrizos/kshape) ## License [![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/)