Data science is overspecialized (or me underspecialized)?

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 helps you find the best software and product alternatives
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  • HungaBunga

    HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

  • Sure, you can do your .fit(), get the model output and be happy. There are many cases where this works. But once you have to do specific models, change some things like the a custom error function to fit your use case better or simply understand why your model is doing things wrong, you absolutely need a good understanding of the maths behind it. You dont need to know all formulas by heart. But being able to understand them and having a good intuition separates the wheat from the chaff

  • 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
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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