Model Selection: Optimizing Classifiers for Different Evaluation Metrics

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

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MB

Jun 19, 2017

Not for the faint of heart and some experience with Python, in particular Pandas, is preferred. Great overview of the different methods used in machine learning. One of the better courses imo.

JL

Aug 20, 2018

Concise and clear presentation of the material with the majority of time focused around using TDD to learn and practice concepts through developing solutions to open ended coding challenges.

從本節課中
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.

教學方

  • Kevyn Collins-Thompson

    Kevyn Collins-Thompson

    Associate Professor

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