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MAT 388E - Data Analysis in Fund.Sciences

Course Objectives

MAT388E is an undergraduate level course which aims to provide an introduction to commonly used statistical methods for inference and prediction problems in data analysis.

Course Description

The methods covered will include supervised learning algorithms with a focus on regression and classification problems and unsupervised learning algorithms with a focus on clustering problems,

Application of these methods to data analysis problems and their software implementation will be done via [Python](https://www.python.org/downloads/).

Course Coordinator
Gül İnan
Course Language
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