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📈 Marketing Campaign Demand Prediction – Python/ML Project

Predict the success of marketing campaigns and forecast demand using real business data. Ideal for developers building data-driven tools for sales and marketing strategy.

Key Features
• Analyzes customer demographics, campaign types, and prior purchasing behavior
• Uses regression or classification models like Random Forest, XGBoost, or Logistic Regression
• Visualizes prediction performance with charts comparing actual and forecasted demand
• Built with Python libraries including pandas, scikit-learn, and Matplotlib/Seaborn

🔗 Explore the full project here:
Marketing Campaign Demand Prediction – View Project


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marketing campaign prediction python
 

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