Country Exploratory Data Analysis and Clustering

Introduction

Welcome to the Country Exploratory Data Analysis and Clustering project! This Jupyter Notebook aims to provide insights into different countries based on various features and to perform clustering to identify patterns.

Notebook Structure

• Data Preprocessing: Cleaning and preparing the dataset for analysis.
• Exploratory Data Analysis: Visualizing and understanding country attributes.
• Clustering Analysis: Applying machine learning techniques to identify clusters.
• Key Insights: Summarizing important findings from the analysis.

How to Use

1. Clone this repository to your local machine.
2. Make sure you have Jupyter Notebook installed.
3. Open the Countries_cluster.ipynb file using Jupyter Notebook.
4. Follow along with the step-by-step analysis and code.
5. Experiment with different clustering algorithms and parameters.

Requirements

• Python 3.x
• Jupyter Notebook
• Pandas
• NumPy
• Matplotlib
• Seaborn

Contact

If you have any questions, suggestions, or feedback, feel free to reach out to me via email or LinkedIn.

Happy exploring and Analysis! 🌍🔍