Leveraging machine learning, I developed a Spam Detection model that discerns spam from legitimate emails with over 86% accuracy. Using Python and libraries like numpy and pandas, I implemented a binary classification logistic regression model. Key insights, visualizations, and the entire codebase are available. I navigated the model-building process with a flexible approach, resulting in a robust classifier supported by impactful visualizations.