🧠 Unsupervised Learning & Pandas Basics

Welcome to this repository! This project contains learning materials focused on Unsupervised Learning methods—specifically Clustering techniques like K-Means and Agglomerative Clustering—along with an introduction to basic Pandas operations for data manipulation and exploration.

📚 Contents

🔹 Pandas Basics

• Loading datasets
• Inspecting data (e.g., .head(), .info(), .describe())
• Data selection and filtering
• Basic data cleaning and manipulation

🔹 Unsupervised Learning (K-Means Clustering)

• Concept explanation
• How the algorithm works
• Practical implementation using scikit-learn
• Visualizing clusters