Skip to content

Details

It is PAID event. You may access training with paid subscription to Ai+ training platform or purchase access to this specific session. More details are here - https://hubs.li/Q02F61jN0

This workshop will show how to use XGBoost. It will demonstrate model creation, model tuning, model evaluation, and model interpretation. The XGBoost library is one of the most popular libraries with data scientists for creating predictive models with structured (or tabular) data. This workshop will cover the library, tuning it, evaluating models created by it, and understanding predictions from it. Attendees will have the chance to try it out with the labs.

Instructor's bio: Matt Harrison, Python & Data Science Corporate Trainer | Consultant | MetaSnake
Matt Harrison has been using Python since 2000. He runs MetaSnake, a Python and Data Science consultancy and corporate training shop. In the past, he has worked across the domains of search, build management and testing, business intelligence, and storage. He has presented and taught tutorials at conferences such as Strata, SciPy, SCALE, PyCON, and OSCON as well as local user conferences.

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/

Related topics

Machine Learning
Data Science
Predictive Analytics
Python
Open Source

You may also like