GitHub / farrellwahyudi / Predicting-Ad-Clicks-Classification-by-Using-Machine-Learning

In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.

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Topics: ad-click-prediction, business-recommendation, classification-models, click-through-rate, confusion-matrix, data-analysis, feature-importance, impact-analysis, learning-curve, logistic-regression, machine-learning

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