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Data Mining I expands predictive modeling into nonlinear dimensions, enhancing the capabilities and effectiveness of the data analytics lifecycle. In this course, learners implement supervised models—specifically classification and prediction data mining models—to unearth relationships among variables that are not apparent with more surface-level techniques. The course provides frameworks for assessing models’ sensitivity and specificity. D208 Predictive Modeling is a prerequisite to this course.

Jupyter Notebook 45.91% HTML 53.29% Python 0.80%
data-mining data-mining-algorithms data-mining-python data-mining-assignments wgu d209

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