https://github.com/type0-1/suv-purchase-prediction

A supervised machine learning classification model which predicts whether a previous customer will purchase the new SUV that will come out using Logistic Regression.
https://github.com/type0-1/suv-purchase-prediction

Last synced: about 11 hours ago
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A supervised machine learning classification model which predicts whether a previous customer will purchase the new SUV that will come out using Logistic Regression.

• Host: GitHub
• URL: https://github.com/type0-1/suv-purchase-prediction
• Owner: type0-1
• Created: 2024-07-05T22:37:34.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-07-07T13:12:03.000Z (4 months ago)
• Last Synced: 2024-07-07T15:55:52.403Z (4 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 9.77 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# SUV Purchase Prediction

This repository contains the code for predicting whether a previous customer will purchase the new SUV that will come out. The prediction is based on a dataset of social network ads and achieves an accuracy score of 89%.

![image](https://github.com/type0-1/suv-customer-classifier/assets/114999736/b5451e50-e9e5-425c-b71c-4625f75cec8f)

![image](https://github.com/type0-1/suv-customer-classifier/assets/114999736/12f9e3c8-e621-456b-b20a-beffdc6924ff)

## Dataset

The dataset used for this project is `Social_Network_Ads.csv`, which contains the following columns:

- `Age`

- `Estimated Salary`

- `Purchased`

## Requirements

To run the code, you need to have the following libraries installed:

- `numpy`

- `pandas`

- `scikit-learn`

You can install these libraries using pip:

`pip install -r requirements.txt`

## Usage

### Clone the repository:

* git clone https://github.com/type0-1/suv-purchase-prediction.git

### Navigate to the project directory:

* cd suv-purchase-prediction

## Ensure you have all required libraries installed:

* pip install -r requirements.txt

## Run the script:

* python suv_purchase_prediction.py