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Evaluating Supervised Learning Models with Python

Measure model performance using various metrics.

Data Academy Subscription > Machine Learning > Evaluating Supervised Learning Models with Python

Part of Data Academy Subscription

Intermediate

1 hour 12 minutes

Course Description

Measure model performance using various metrics. Use sampling and hyperparameter tuning to improve models, and calculate feature importance for model evaluation. This course is part of the Supervised Learning path – complete this path to learn how to use and evaluate a range of supervised learning algorithms.

Requirements

Previous experience of using Python is required. Prior knowledge of machine learning is not necessary.

Instructor:

Packt Data

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