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 [](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 [](https://creativecommons.org/publicdomain/zero/1.0/)
gitextract_n9clqaae/ └── README.md
Condensed preview — 1 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (3K chars).
[
{
"path": "README.md",
"chars": 2642,
"preview": "# Awesome Time Series Analysis and Data Mining\n\n[](https://awesome.re)\n\nA collec"
}
]
About this extraction
This page contains the full source code of the youngdou/awesome-time-series-analysis GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 1 files (2.6 KB), approximately 808 tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.