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7 best Go Predictive Analytics libraries in 2022

by Open Weaver kits ✔

Go is one of the fastest developing programming languages that makes it easy to build simple, reliable, and efficient software. It is a statically typed language, memory safe language and provides garbage collection, type safety, dynamic-typing capability, many advanced built-in types such as variable length arrays and key-value maps. Go has a rich ecosystem of tools and libraries for predictive analytics. Predictive analytics is the branch of the advanced analytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future. Developers tend to use some of the following Go Predictive Analytics open source libraries: terraform - Terraform enables you to safely and predictably create; leaves - pure Go implementation of prediction part; predictive-horizontal-pod-autoscaler - Horizontal Pod Autoscaler built.