elaheh-dastan/newborn
A library for ML algorithms
This is a basic library for implementing common machine learning algorithms. It helps developers quickly read data from CSV files, visualize it with scatter plots, and apply fundamental algorithms like regression and K-Nearest Neighbors for prediction or classification. It's intended for software developers who need to integrate simple ML capabilities into their Go applications.
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Use this if you are a Go developer looking for a straightforward, pre-built implementation of core machine learning algorithms for data analysis and prediction.
Not ideal if you need a high-performance, production-ready machine learning framework with a wide array of advanced algorithms and extensive pre-processing tools.
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Go
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Last pushed
Aug 27, 2020
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