Model Evaluation & Selection

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Destrezas que aprenderás

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

Revisiones

4.7 (3,543 calificaciones)
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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.

De la lección
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.

Impartido por:

  • Kevyn Collins-Thompson

    Kevyn Collins-Thompson

    Associate Professor

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