Welcome to the marketing mix modelling project for Danone France! This project aims to analyze and optimize the marketing mix of Danone's products in the French market.

The marketing mix is a set of tactics used by companies to promote their products or services in the market. These tactics include product, price, promotion, and place. Marketing mix modelling (MMM) is a statistical analysis that helps companies understand the impact of these tactics on sales and customer behavior.

This project uses MMM to analyze the performance of Danone's marketing mix in France. The project includes data cleaning, exploratory data analysis, model building, and optimization. The results of the analysis will be used to optimize Danone's marketing strategies and improve the ROI of their marketing campaigns.

This project uses the following technologies:

• Python
• Pandas
• NumPy
• Matplotlib
• Scikit-learn
• Stats.model

To get started with this project, clone the repository and install the required dependencies:

The data used in this project is sourced from Danone France's internal databases. The data includes information on sales, marketing campaigns, pricing, and other factors that affect the marketing mix. [Its DUMMY DATA MAN]

If you have any questions or feedback about this project, please contact with a pull request XD

This project is maintained by SirPepeTheThird :) (fuckin idiot of a guy)

This project is licensed under the MIT License - see the LICENSE.md file for details.