Customer Segmentation

The Mall Customers Segmentation utilizes data analysis and machine learning to categorize mall visitors into distinct groups. This enables businesses in the mall to optimize marketing strategies and create personalized experiences based on customer behavior and preferences, enhancing the overall shopping experience.

Prerequisites

Before contributing or adding a new feature, Please make sure you have already installed the following tools:

• Git
• Python

Installation Steps

1. Download Dataset from here --> Dataset

2. download customer-segmentation.ipynb file

3. Create a Conda environment:

   conda create --name myenv
   

4. Activate the environment:

   • For Windows:

     conda activate myenv
     

   • For macOS/Linux:

     source activate myenv
     

5. Install dependencies:

   conda install <package_name>
   

6. Install packages using pip (if not available in conda):

   pip install <package_name>
   

7. Run Jupyter Notebook:

   jupyter notebook
   

Contributors

Managed by Ranjit Odedra