Basic Time Series Prediction

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/learnmachinelearning

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  • Prophet

    Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

    I like Meta's Prophet. It's a flexible model that I feel is easy to understand and explain to non-technical stakeholders. Implementations for R and python. It can be as simple as a univariate series, or accept exogenous explanatory variables (categorical & continuous). Seasonality is part of the model, out of the box. It also has decent default parameters if you're not looking to do a lot of tuning. Lastly, the documentation is quite thorough and approachable. https://facebook.github.io/prophet/

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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