https://github.com/udacity-machinelearning-internship/identify_customer_segments

Final project on Udacity's "Intro to Machine Learning with TensorFlow" program.
https://github.com/udacity-machinelearning-internship/identify_customer_segments

clustering machine-learning tensorflow unsupervised-learning unsupervised-machine-learning

Last synced: 8 months ago
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Final project on Udacity's "Intro to Machine Learning with TensorFlow" program.

• Host: GitHub
• URL: https://github.com/udacity-machinelearning-internship/identify_customer_segments
• Owner: Udacity-MachineLearning-Internship
• Created: 2024-10-23T21:19:24.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-12-12T18:58:25.000Z (about 1 year ago)
• Last Synced: 2025-06-12T12:49:56.699Z (8 months ago)
• Topics: clustering, machine-learning, tensorflow, unsupervised-learning, unsupervised-machine-learning
• Language: HTML
• Homepage:
• Size: 1.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          


  

  ![Identify_Customer_Segments](https://github.com/user-attachments/assets/ace79575-8b5b-4638-9486-836a55669e3a)


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This project applies **unsupervised learning** techniques to segment customers based on their purchasing behaviors. By clustering customers into meaningful groups, businesses can target their strategies more effectively and optimize resource allocation.

## Project Overview

The main goal of this project is to identify distinct customer segments using clustering algorithms. Key steps include:

- Data preprocessing and feature scaling.

- Dimensionality reduction using **Principal Component Analysis (PCA)**.

- Clustering with **K-Means** and analyzing the results.

## Tools and Technologies

- **Python**

- **Scikit-learn** for clustering and PCA

- **Matplotlib** and **Seaborn** for data visualization

## Results

- Identified unique customer segments based on their purchasing behaviors.

- Generated actionable insights for targeted marketing and resource optimization.

## How to Run

1. Clone the repository:

   ```bash

   git clone https://github.com/BaraSedih11/Identify_Customer_Segments.git

   ```

2. Install the required libraries:

  ```bash

  pip install -r requirements.txt

  ```

3. Run the notebook or script for analysis.

* here is the last dataset:

[dataset](https://drive.google.com/file/d/1KrVT1iFc-EzmL6_Y0MxOyGM1laF8LjRA/view?usp=sharing)

## Acknowledgments

This project is part of the **Udacity Intro to Machine Learning with TensorFlow Nanodegree**.