Predicting the distribution of a variable rather than a point estimate

This page summarizes the projects mentioned and recommended in the original post on /r/datascience

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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  • Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

    aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  • You’re welcome! I would recommend Bayesian Methods for Hackers

  • pymc-resources

    PyMC educational resources

  • That course/book has been translated to Python (using PyMC3 for the modeling, but you could also use the Stan examples and run them from Python using CmdStanPy).

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • skbel

    SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

  • For multivariate regression, I'm developing a Python package called SKBEL.

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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