Model Selection: Optimizing Classifiers for Different Evaluation Metrics

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Compétences que vous apprendrez

Python Programming, Machine Learning (ML) Algorithms, Machine Learning, Scikit-Learn

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4.6 (7,444 évaluations)

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  • 4 stars
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  • 3 stars
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26 nov. 2020

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great experience and learning lots of technique to apply on real world data, and get important and insightful information from raw data. motivated to proceed further in this domain and course as well.

RS

9 juin 2020

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The course was really interesting to go through. All the related assignments whether be Quizzes or the Hands-On really test the knowledge. Kudos to the mentor for teaching us in in such a lucid way.

À partir de la leçon

Module 3: Evaluation

This module covers evaluation and model selection methods that you can use to help understand and optimize the performance of your machine learning models.

Enseigné par

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    Kevyn Collins-Thompson

    Associate Professor

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