https://github.com/ganeshborkar31/purchasing_capabilities

Customer Segmentation is the subdivision of a market into discrete customer groups that share similar characteristics. Customer Segmentation can be a powerful means to identify Capabilities of the customer needs.
https://github.com/ganeshborkar31/purchasing_capabilities

clustering machine-learning python3

Last synced: 2 months ago
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Customer Segmentation is the subdivision of a market into discrete customer groups that share similar characteristics. Customer Segmentation can be a powerful means to identify Capabilities of the customer needs.

• Host: GitHub
• URL: https://github.com/ganeshborkar31/purchasing_capabilities
• Owner: ganeshborkar31
• License: mit
• Created: 2024-01-15T12:03:37.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-24T04:30:13.000Z (over 1 year ago)
• Last Synced: 2025-02-11T12:42:42.164Z (4 months ago)
• Topics: clustering, machine-learning, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 2.36 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# PURCHASING_CAPABILITIES

## Description - 

   Customer Segmentation is the subdivision of a market into discrete customer groups that share similar characteristics. Customer Segmentation can be a powerful means to identify unsatisfied customer needs. Using the above data, companies can then outperform the competition by developing uniquely appealing products and services.

## input

![alt tag](https://github.com/ganesh-borkar/PURCHASING_CAPABILITIES/blob/main/Screenshots/input.jpg)

## output

![alt tag](https://github.com/ganesh-borkar/PURCHASING_CAPABILITIES/blob/main/Screenshots/output.jpg)

## Website link - [cpc1.herokuapp.com](cpc1.herokuapp.com)

## Libraries used

#### Flask

#### Sklearn

#### Pandas

#### Numpy

## Tech Stack

#### Front-End: HTML, CSS, Bootstrap

#### Back-End: Flask

#### IDE: Jupyter notebook, VScode

## How to Run:

#### 1. create new enviroment with python=3.7

#### 2. install requirements.txt file.

#### 3. Run app.py file.

## Workflow

![alt tag](https://github.com/ganesh-borkar/PURCHASING_CAPABILITIES/blob/main/Screenshots/Architecture.jpg)

## Documents

### 📙 

#### 1.[HLD](https://github.com/ganesh-borkar/PURCHASING_CAPABILITIES/blob/main/Documents/High%20Level%20Design.pdf)

#### 2.[LLD](https://github.com/ganesh-borkar/PURCHASING_CAPABILITIES/blob/main/Documents/Low_Level_Design_.pdf)

#### 3.[Wireframe](https://github.com/ganesh-borkar/PURCHASING_CAPABILITIES/blob/main/Documents/wireframe.pdf)

#### 4.[DPR](https://github.com/ganesh-borkar/PURCHASING_CAPABILITIES/blob/main/Documents/DPR.pptx)

#### 5.[Linkedin Post](https://www.linkedin.com/posts/ganeshborkar31/details/projects/

## LICENSE

[MIT LICENSE](LICENSE)