This project implements a Logistic Regression model to predict whether a user will purchase a product based on social media advertisement data. The dataset contains user demographics and ad interaction details.
The dataset consists of the following features:
| Feature | Description |
|---|---|
| User ID | Unique identifier for each user (not used in training) |
| Age | Age of the user |
| Estimated Salary | Approximate income of the user |
| Gender | Male or Female (converted to numerical values) |
| Purchased | Target variable (0 = No, 1 = Yes) |