🤖 ML Sprint – Vansh's Machine Learning Journey

This repository documents my daily Machine Learning sprint — focused on practical understanding, clean notebooks, and end-to-end model implementation.

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📅 Sprint Status

• ✅ Active: Yes (13+ Days Completed)
• 🎯 Format: 1 Topic/Notebook per Day
• 📈 Goal: Full ML Understanding, from Basics to Deployment

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📂 Folder Structure

📁 Day_01/
📁 Day_02/
📁 Day_03/
📁 ...
📁 Day_13/
📄 README.md

Each Day_X folder contains a structured Jupyter notebook titled like:
Day_05_Linear_Regression.ipynb

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⚙️ Libraries Used

• 📊 pandas, numpy, scikit-learn
• 📉 matplotlib, seaborn
• 📒 Jupyter Notebook
• 🌐 Git + GitHub

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🧠 This sprint is not just about completing notebooks – it's about mastering ML by doing it daily.