The end was to publish a website that predicted future employee resignations in Liverpool using demographic and historical data from former employees. Contributed by implementing two machine learning models—Random Forest for the first forecast and Multinomial Logistic Regression for the second—and by designing the website’s interface. The final product could predict four out of five future resignations accurately and included an intuitive, user-friendly interface with interactive visualizations built in Python (jupyter notebooks), leveraging libraries such as pandas, numpy, plotly, category_encoders, joblib, dash, among others...

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