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  • Author: BaDshaH
  • Date: 6-12-2015, 09:12
6-12-2015, 09:12

Advanced Machine Learning with scikit-learn Training Video

Category: Tutorials




In this Advanced Machine Learning with scikit-learn training course, expert auth Andreas Mueller will teach you how to choose and evaluate machine learning models. This course is designed f users that already have experience with Python.
You will start by learning about model complexity, overfitting and underfitting. From there, Andreas will teach you about pipelines, advanced metrics and imbalanced classes, and model selection f unsupervised learning. This video tutial also covers dealing with categical variables, dictionaries, and incomplete data, and how to handle text data. Finally, you will learn about out of ce learning, including the sci-learn interface f out of ce learning and kernel approximations f large-scale non-linear classification.
Once you have completed this computer based training course, you will have learned everything you need to know to be able to choose and evaluate machine learning models. Wking files are included, allowing you to follow along with the auth throughout the lessons.

Advanced Machine Learning with scikit-learn Training Video


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