Analyzes clickstream data from an e-commerce platform to predict customer conversions, estimate potential revenue, and segment users for personalized marketing strategies. By leveraging machine learning techniques, the project enhances decision-making for businesses seeking to optimize user engagement and sales.
python machine-learning pipeline tensorflow numpy scikit-learn pandas seaborn xgboost matplotlib data-preprocessing feature-engineering model-evaluation classification-algorithm regression-algorithms clustering-algorithms model-engineering streamlit-web-application predicting-potential-revenue segmentation-users
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Updated
May 14, 2025 - Jupyter Notebook