Managing Data Leakage: Mitigation and Prevention Techniques

## Details

Abstract
The purpose of this event is to reveal the pitfalls of data leakage and its correlations between overfitting and underfitting. The presentation ventures to explore mitigation and prevention techniques to strengthen machine learning models' ability to perform accurately and precisely when presented with new data.

Audience
ML Engineers, Mathematicians, Data Analysts, Data Scientist, and anyone interested in AI.

Level
Beginner to Intermediate

Format
45-minute presentation with demonstration.

About the speaker
Arewa Iyi (ML Engineer) : is a graduate student studying Data Analytics from the University of Maryland Global Campus. Passionate about algorithm design, exploratory data analysis, and groundbreaking machine learning techniques.

About Miami Machine Learning
Miami Machine Learning is a Miami based community of engineers dedicated to promoting ethical advancements in the study of how computers learn.