Applied Data Modeling and Predictive Analysis

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DS 2010, DS 2020 and STAT 1010, STAT 1040, STAT 2010, STAT 2026, STAT 3005, STAT 3022, STAT 3030, or STAT 3031Elements of predictive analysis such as training and test sets; feature extraction; survey of algorithmic machine learning techniques, e.g. decision trees, Naive Bayes, and random forests; survey of data modeling techniques, e.g. linear model and regression analysis; assessment and diagnostics: overfitting, error rates, residual analysis, model assumptions checking; communicating finding→DS 3010→unlocks 1 courses

1 mapped course lists DS 3010 as a prerequisite. See on the map →

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