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This project builds a Linear Regression model to predict sales based on advertising expenditures across different media channels, including TV, Radio, and Newspaper. Using Python, Pandas, Scikit-Learn, and Statsmodels, we analyze the impact of each factor on sales and evaluate model performance.

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advertising-sales-prediction

This project builds a Linear Regression model to predict sales based on advertising expenditures across different media channels, including TV, Radio, and Newspaper. Using Python, Pandas, Scikit-Learn, and Statsmodels, we analyze the impact of each factor on sales and evaluate model performance.

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This project builds a Linear Regression model to predict sales based on advertising expenditures across different media channels, including TV, Radio, and Newspaper. Using Python, Pandas, Scikit-Learn, and Statsmodels, we analyze the impact of each factor on sales and evaluate model performance.

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