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  • PSTAT 131

    • Introduction to Statistical Machine Learning . PSTAT 131

    Statistical Machine Learning is used to discover patterns and relationships in large data sets. Topics will include: data exploration, classification and regression tress, random forests, clustering and association rules. Building predictive models focusing on model selection, model comparison and performance evaluation. Emphasis will be on concepts, methods and data analysis; and students are expected to complete a significant class project, individual or team based, using real-world data.

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    Prerequisites: PSTAT 120A-B and PSTAT 126 with a minimum grade of C or better.

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    COBURN T
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    Enrollment Trends
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    Spring 2026 . Coburn T
    TD-W 1701
    T R
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    Summer 2026 . Coburn T
    HSSB 1173
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    PSTAT 131 Coburn T Winter 2026 Total: 213
    PSTAT 131 Yu G Fall 2025 Total: 171
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    PSTAT 131
    187 / 250 Enrolled
    Introduction to Statistical Machine Learning
    Katie Coburn 3.1
    M W
    17:00 PM - 18:15 PM
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