Python's AutoTS: Your Co-Pilot for Time Series Analysis
Abstract
AutoTS is a powerful automatic machine learning library designed specifically for automatic time series forecasting in Python. With its intuitive functionality and versatility, this library empowers users to effortlessly engage in various time series forecasting tasks, such as predicting stock prices for a specified number of days ahead. In this article, we present a comprehensive tutorial on utilizing the AutoTS library in Python. By following this guide, readers will gain insights into the library's capabilities, enabling them to harness its potential for accurate and efficient time series forecasting in their projects. Whether you are a seasoned data scientist or a beginner in the field, AutoTS offers a seamless and accessible solution for tackling complex time series analysis with ease.
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AutoTS GitHub Repository: https://github.com/winedarksea/AutoTS
Auto-Sklearn: https://github.com/automl/auto-sklearn
https://github.com/winedarksea/AutoTS
https://winedarksea.github.io/AutoTS/build/html/source/tutorial.html
https://medium.com/data-science-in-your-pocket/automl-for-time-series-forecasting-using-autots-with-example-735fb559443a
https://www.analyticsvidhya.com/blog/2021/04/automate-time-series-forecasting-using-auto-ts/
https://www.kaggle.com/code/yevonnaelandrew/starter-autots-automated-time-series
https://www.kaggle.com/getting-started/157484
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https://thecleverprogrammer.com/2021/04/19/autots-in-python-tutorial/
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