• Courses
  • PSTAT
  • 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.

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

    4

    Units

    Optional

    Grading

    1, 2

    Passtime

    None

    Level Limit

    Letters and science

    College
    Unlocks PSTAT 134 PSTAT 135 PSTAT 234 PSTAT 235
    These majors only finms actsc stsds stsap stats
    Instructors
    T B A
    No info found
    Lecture
    LSB 1001
    T R
    17:00 PM - 18:15 PM
    80 / 80 Full
    Enrollment Trends
    Past Enrollment Trends (9)
    See All
    Winter 2024 . Coburn K M
    ILP 1101
    T R
    14:00 PM - 15:15 PM
    Winter 2024 . Coburn K M
    NH 1006
    T R
    17:00 PM - 18:15 PM
    Grading Trends (39)
    See All
    PSTAT 131 Yu G Winter 2025 Total: 156
    PSTAT 131 Baracaldo Lan Fall 2024 Total: 64
    Other PSTAT 131 Offerings
    See All
    PSTAT 131
    72 / 80 Enrolled
    Introduction to Statistical Machine Learning
    Laura Baracaldo 1.8
    T R
    17:00 PM - 18:15 PM
    58.3% A
    You Might Also Like
    PSTAT 126
    80 / 100 Enrolled
    Regression Analysis
    Puja Pandey 4.3
    T R
    17:00 PM - 18:15 PM
    42.3% A
    PSTAT 127
    96 / 125 Enrolled
    Advanced Statistical Models
    Wendy Meiring 2.8
    T R
    11:00 AM - 12:15 PM
    36.2% A
    PSTAT 127
    77 / 100 Enrolled
    Advanced Statistical Models
    Wendy Meiring 2.8
    T R
    11:00 AM - 12:15 PM
    36.2% A
    PSTAT 130
    124 / 125 Enrolled
    SAS Base Programming
    Julie Swenson 4.3
    T
    09:30 AM - 10:45 AM
    35.8% A
    PSTAT 130
    25 / 25 Full
    SAS Base Programming
    T
    12:00 PM - 12:50 PM
    35.8% A
    PSTAT 134
    81 / 88 Enrolled
    Statistical Data Science
    Katie Coburn 3.3
    T R
    15:30 PM - 16:45 PM
    55.5% A