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MATH 3007 Predictive Modelling

MATH 3007  Predictive Modelling  (10 Credit Points)  
Subject Details  Legacy Code: 301034  

In this information age, business and science depend on accurate predictions to make informed decisions. Machine learning is the process of allowing a computer to learn from data, which at its heart is used in making these important decisions. This unit provides students with the knowledge and practice required to implement and effectively use these predictive models such as Neural Networks and Support Vector Machines. Students will use the Python programming language throughout this unit.

Level: Undergraduate Level 3 subject  
Pre-requisite(s): For students not enrolled in 3734 Bachelor of Data Science 3769 Bachelor of Data Science or 3770 Bachelor of Applied Data Science - MATH 1028 Statistical Decision Making or MATH 1003 Biometry or MATH 1030 Statistics for Business  
Co-requisite(s): Students in Bachelor of Data Science or Bachelor of Applied Data Science must be enrolled in MATH 1033 Thinking About Data  
Restrictions: Please see the Subject Details page for any restrictions for this subject