Python-based Temporal Prediction System

A Python-based Temporal Prediction System is a Python-based predictive system that is a forecasting system.

• Context:
  • It can range from being a Python-based Temporal Classification System to being a Python-based Temporal Ranking System to being a Python-based Temporal Estimation System.
  • It can range from being a Python-based Single-Predictor Forecasting System to being a Python-based Multi-Predictor Forecasting System.
  • It can range from being a Python-based Temporal Interpolation System to being a Python-based Temporal Extrapolation System.
  • It can be supported by a Python-based Detrending System, such as a Python-based autocorrelation system.
• Example(s):
  • http://www.analyticsvidhya.com/blog/2016/02/time-series-forecasting-codes-python/
  • http://machinelearningmastery.com/moving-average-smoothing-for-time-series-forecasting-python/
  • a Python-based Demand Prediction System.
  • a Python-based Event Duration Prediction System.
  • …
• Counter-Example(s):
  • a R-based forecasting system.
  • a Noise-Filtering System.
• See: Classification System, Ranking System, Temporal Function, Monitoring System, Smoothing System.

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References

2016

• https://machinelearningmastery.com/moving-average-smoothing-for-time-series-forecasting-python/
  • QUOTE: In this tutorial, you will discover how to use moving average smoothing for time series forecasting with Python.

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