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Data Science Capstone Project: Predictive Analytics Model

Description: Build a predictive analytics model using real-world data to forecast customer churn for an e-commerce company. You are expected to clean the dataset, perform exploratory data analysis (EDA), and apply machine learning algorithms such as logistic regression, decision trees, or random forest to predict customer behavior. The project should include a detailed analysis of model performance and key insights derived from the data.

Instructions: Use Python or R for the model. Document all steps taken, from data preprocessing to model validation, and provide a detailed explanation of the findings. Use Jupyter notebooks for submission with clear markdown and visualization (graphs and charts).

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