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Codecademy

Intro to Hyperparameter Tuning with Python

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Overview

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Hyperparameters are values that can be adjusted to improve a Machine Learning model. In this course, you will learn industry standard techniques for hyperparameter tuning, including Grid Search, Random Search, Bayesian Optimization, and Genetic Algorithms.

Syllabus

  • Intro to Hyperparameter Tuning with Python: Learn about hyperparameter tuning methods in machine learning.
    • Article: Hyperparameters in Machine Learning Models
    • Lesson: Hyperparameter Tuning with `scikit-learn`
    • Quiz: Hyperparameter Tuning
    • Project: Classify Raisins with Hyperparameter Tuning!
    • Informational: What's Next?

Taught by

Zoe Bachman

Reviews

4.8 rating at Codecademy based on 4 ratings

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