Question: Explain the general steps you would take when applying a supervised Machine Learning model to classify a binary dataset ( dependent variable has only two

Explain the general steps you would take when applying a supervised Machine Learning model to classify a binary dataset (dependent variable has only two possible values) using a binary classifier. Your explanation should address the following aspects: data preprocessing, data splitting, model training, model evaluation, and model tuning.

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