The goal of this project is to develop a predictive model that can forecast sales based on the expenditure across various marketing platforms. By analyzing historical data on marketing spend and corresponding sales figures, the model will learn patterns and relationships to make accurate predictions
Tools and Technologies:
Programming Languages: Python
Data Visualization: Matplotlib, Seaborn
Development Environment: Colab, Jupyter Notebooks, Spyder, or any preferred IDE
Version Control: Git
Documentation: Colab, Markdown, Jupyter Notebooks, or any preferred documentation tool.