brianspiering / scikit-learn-pipeline-intro

A quick introduction to writing more robust machine learning code with scikit-learn's pipelines.

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Introduction to Scikit-Learn's Pipelines

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This is an introduction to writing better machine learning code with scikit-learn's pipelines. Scikit-learn is a library of powerful machine learning tools, and scikit-learn pipelines are a way to simplify end-to-end machine learning by systematically chaining those tools together. The result of using pipelines is more readable, robust, and maintainable machine learning code. This content is designed for a person who already has familiarity with machine learning fundamentals and is interested in improving their machine learning skills.

Prerequisites

  • Working knowledge of common machine learning terms (e.g., regression, classification, and cross-validation)
  • Previously trained a basic scikit-learn machine learning model.

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A quick introduction to writing more robust machine learning code with scikit-learn's pipelines.

License:Apache License 2.0


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Language:Jupyter Notebook 96.7%Language:Python 3.3%