March 24, 2021
9:00 am - 5:00 pm
Duration: Full Day Course
Central Time CT
Co-Founder/Chief Data Scientist
Smarter HQ, Inc.
During the final day of the TDWI Data Science Bootcamp, you will learn how advanced modeling techniques can be layered on top of the foundational machine learning algorithms (covered on day two), and how model interpretation is extended accordingly. Demonstrations will show how to build and interpret these advanced models using actual examples.
An extensive overview of model ensembles will cover principles and practices and a variety of specific techniques. You will also be exposed to algorithms that are frequent winners of international modeling competitions such as random forests and gradient boosting machines. You will learn about sampling and re-sampling strategies, interpretation of complex models, randomization experiments to build and interpret models, and advanced feature creation approaches.