Equips participants with advanced data handling techniques to support model development by covering data normalization and scaling, feature selection, managing imbalanced data, and demonstrating the first-pass model training and evaluation for reduction of errors.
Engineering your data for effective AI Model Development
Because of a lapse in government funding, the information on this website may not be up to date, transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted.
The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit cc.nih.gov.
Updates regarding government operating status and resumption of normal operations can be found at OPM.gov.
Related
-
Workshop
Model Building and Evaluation for Reduction of Errors in Application
-
Workshop
An Introduction to Python for Data Science
-
Workshop
Data Preparation for Creating AI-ready Quality Data