Applications in data science 212

Module code WST 212
Qualification Undergraduate
Faculty Faculty of Natural and Agricultural Sciences
Module content

Introduction to database design, extracting data from databases using different software packages. Introduction to machine learning. Commonly used machine learning techniques

Module credits 12.00
Prerequisites WST 111, WST 121, WTW 114 (GS), WTW 124 (GS).
Contact time 2 lectures per week, 1 practical per week
Language of tuition Module is presented in English
Department Statistics
Period of presentation Semester 1

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