Label Encoder – Colab to GitHub

This project demonstrates how Label Encoding is used in Google Colab and then uploaded to GitHub. Label Encoding converts text categories into numeric labels so machine learning models can understand and process them.

📌 Project Overview

• Using Label Encoder in Google Colab
• Converting categorical/text data into numerical form
• Preparing data for machine learning models
• Saving and uploading the notebook to GitHub

💡 What Label Encoder Does

Label Encoder transforms each unique category in a column into a unique numeric value. Example: "Red" → 0, "Blue" → 1, "Green" → 2. This is helpful when models require numeric input.

📂 Files

• notebook.ipynb – Colab notebook with Label Encoding
• README.md – Project documentation

📤 Uploading From Colab to GitHub

1. Go to File → Save a copy in GitHub
2. Choose your repository & branch
3. Add a commit message
4. Upload

📄 License

This project is free to use, modify, and share.