Outcomes from machine learning models suffer from physical and human interpretability in such a way that data scientists are unable to transfer their knowledge to non-technical people. Join our Data Scientist, Andrea Giussani, to explore the results of an xbooster classifier with Shap values.
During this session we will learn about:
– Xgboost library: including fit and predict methods
– Shap values
On top of this session, you can also sign up for the upcoming webinars of this series by clicking on the links below:
- November 18th | Mastering Machine Learning – Ep.4: Build a Sentiment Analysis Pipeline
- December 9th | Mastering Machine Learning – Ep.5: Natural Language Processes Using Amazon Sagemaker
– All registrants will receive the recording of the webinar via email
Andrea Giussani, Data Scientist at Cloud Academy
With a Ph.D. in Statistics, Andrea is a full-time Data Scientist at Cloud Academy. On top of his day to day job, he is also an Academic Fellow in Computer Science at Bocconi University in Milan. He is also a published author, check out his bestseller Applied Machine Learning with Python.