Unsupervised Machine Learning Beginner

This repository contains code and datasets used for clustering and dimensionality reduction techniques.

Datasets Used

• Fuzzy C-Means: Country Data
• Hierarchical Clustering: Retail Data
• K-Means: Live Data
• Mean Shift: Iris dataset (built-in)
• PCA: Breast Cancer dataset (built-in)

Instructions

To replicate the analysis:

1. Clone this repository to your local machine.
2. Install the necessary dependencies by running pip install -r requirements.txt.
3. Run the Python scripts for the respective techniques, providing the appropriate dataset paths.

Contributors

• Meet Solanki

License

This project is licensed under the MIT License - see the LICENSE file for details.