https://github.com/itsjwala/datamining-miniproject

This is webapp to predict customer ads pull, It was a part of Course DataMining.
https://github.com/itsjwala/datamining-miniproject

Last synced: 25 days ago
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This is webapp to predict customer ads pull, It was a part of Course DataMining.

• Host: GitHub
• URL: https://github.com/itsjwala/datamining-miniproject
• Owner: itsjwala
• Created: 2018-04-30T15:01:29.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-06-21T21:17:56.000Z (over 2 years ago)
• Last Synced: 2023-03-07T11:02:45.758Z (over 1 year ago)
• Language: HTML
• Homepage:
• Size: 666 KB
• Stars: 2
• Watchers: 0
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# DataMining Mini project

[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/)

## Description

This is a webapp to predict customer ads pull, developed as a part of course Data Mining.

The webapp predicts, if a customer would purchase the product with refernce to the advertisement, based on:

- Gender

- Age

- Estimated Salary

The predictor is based on the following algorithms:

1. Random Forest

2. Naive Bayes

3. Decision Tree

4. K-Nearest Neighbors

## Installation

Clone the repository to install the source code.

```sh

git clone https://github.com/jigarWala/DM-miniproject.git

cd DM-miniproject

```

Then, install the `requirements` via package manager `pip`.

```sh

pip install -r requirements.txt

```

## Execution

Run the Server

```bash

python3 routes.py

```

Type `localhost:8000` in the browsers' address bar.

## Contributers

    

        

            


            Jigar Wala

        

    

    

        

            


            Arvind Ganesh

        

    

    

        

            


            Rahul Soni

        

    

    

        

            


            Onkar Pande