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phdinds-aim.github.io
| | austinrochford.com
5.7 parsecs away

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| | I recently read the interesting paper The ARR2 prior: flexible predictive prior definition for Bayesian auto-regressions on the arXiv and followed its references to the also fascinating Bayesian Regre
| | dfm.io
5.7 parsecs away

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| | www.ethanrosenthal.com
2.1 parsecs away

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| | In this post, I will walk through how to use my new library skits for building scikit-learn pipelines to fit, predict, and forecast time series data. We will pick up from the last post where we talked about how to turn a one-dimensional time series array into a design matrix that works with the standard scikit-learn API. At the end of that post, I mentioned that we had started building an ARIMA model.
| | www.analyticsvidhya.com
27.2 parsecs away

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| Take your machine learning skills to the next level with Support Vector Machines (SVM) for tasks like regression and classification.