What question did this study set out to answer?

The aim is to predict product sales based on advertising investments across different channels.

April 22, 20260 citationsOpen Access

Sales Prediction Using Machine Learning Techniques

MPMrunalini Narayan Pachpute PDProf. Pooja Dehankar

Key Points

The aim is to predict product sales based on advertising investments across different channels.
Applied linear regression to analyze relationships between sales and advertising expenditure.
Conducted exploratory data analysis to identify trends and correlations.
Evaluated model performance using R-squared and Mean Squared Error.
TV and Radio advertising were found to significantly influence sales.
Newspaper advertising had a lesser impact on sales.
The model demonstrated reliable performance metrics.

Abstract

This study presents a data-driven approach for predicting product sales based on advertising expenditure across TV, Radio, and Newspaper channels. The project utilizes Linear Regression to analyze relationships between variables and generate accurate sales predictions. Exploratory Data Analysis (EDA) was performed to identify patterns and correlations in the dataset. The results indicate that TV and Radio advertising significantly influence sales, while Newspaper has a lesser impact. The model was evaluated using R-squared (R²) and Mean Squared Error (MSE), demonstrating reliable performance. This work highlights the importance of machine learning in supporting data-driven decision-making and optimizing marketing strategies.

问 AI

Bookmark

View Full Paper