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Course Description

This workshop will provide an overview of modern machine learning methods for predictive analytics and provide hands-on experience with the most important modeling tools. Participants will be introduced to supervised learning for classification and regression, then walk-through a step-by-step tutorial of a typical machine learning application. Participants will apply decision trees, neural networks, and Gaussian processes to real data, using the python programming language and scikit-learn library in interactive Jupyter notebooks.

Recommendations

Who should attend?

  • Managers responsible for data related activities or functions that rely on data analysis
  • Professionals who work with data analysts or who do data analysis on their own
  • Data analysts wishing to broaden their understanding of applied data analytics

Applies Towards the Following Certificates or Series

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