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Is your feature request related to a problem? Please describe.
The goal of this project is to predict the sales revenue generated from different advertising budgets across media channels like TV, radio, and newspapers. By predicting the influence of advertisement spending on sales, this project aims to provide actionable insights to optimize ad budgets and maximize returns.
Describe the solution you'd like
The project analyzes the impact of advertisement budgets across various media channels (TV, radio, newspaper) on sales revenue. By employing multiple regression models, it predicts sales as a function of ad spending in each channel. Key performance metrics such as R-squared, Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) are used to evaluate and compare model accuracy. This project uses the advertising dataset from Kaggle to train and test these models.