Data Preprocessing for Finance
Overview
Sourcing, cleaning, and preprocessing data is a challenge. Learn how to spend more time building models and less time cleaning data using MATLAB®.
Highlights
- Identifying Common Data Handling ChallengesHighlight 2
- Demo 1: Valuation Example of Fundamental Data
- Demo 2: Cleaning Large Data Sets
- Demo 3: Data Cleaning by Machine Learning
- Demo 4: Text Analytics Example
Who Should Attend
This webinar is aimed at professors, students, and researchers who would like to learn and deepen their use of MATLAB in the financial field.
About the Presenter
Lawrence Johny. Applications Engineer at MathWorks.
Paula Poza. Applications Engineer at MathWorks.
Product Focus
This event is part of a series of related topics. View the full list of events in this series.
