Machine Learning II Course
The analysis was carried out in Python.
The aim of the Churn Analysis project was to write and algorithm that predict employee churn at a particular company using logistic regression. With feature engineering, and the introduction of a polynomial of degree 2, the overall accuracy exceeded 90%.
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