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Evaluating Supervised Learning Models with Python
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
