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In this liveProject, you’ll use the Julia language to build a classification-based machine learning model that can predict the salary of a customer based on their sociodemographic data. This model will then be used to serve premium advertising to wealthier customers. You’ll build and evaluate XGBoost models with the dedicated Julia XGBoost.jl package, tune the hyperparameters, and assess your model’s capabilities using ROC curve, and measures such as AUC, accuracy, recall, and precision.
This project is designed for learning purposes and is not a complete, production-ready application or solution.