Predicting-sale-from-social-media-ads-

This repository has a comparison of classification algorithms fro predicting whether or not a sale went through after an advertisement is posted on social media.

Dataset

The dataset has following features:

1. User ID - This is the unique identifier for each row
2. Gender - Categorical value Male/ Female
3. Age - Numberic value: 1,19,27.....
4. Estimated Salary - Numeric value: 19000, 57000, 43000...
5. Purchased - It is a flag with numeric value 0/1

Requirements

Python

Install the required libraries through command line

pip3 intsall -r requirements.txt

License

MIT