🤖 Machine Learning Repository

Welcome to my Machine Learning repository! This repository contains structured learning material, hands-on notebooks, and solved exercises to strengthen ML concepts.

📚 Table of Contents

1. 📜 Introduction
2. 📁 Repository Structure
3. 💻 Installation
4. 🚀 Usage
5. 🤝 Contributing
6. 📬 Contact

📜 Introduction

This repository is structured into 4 weeks, each containing:

• Graded Notebooks ✅ – Includes test cases and exercises, all of which are solved by me.
• Ungraded Notebooks 📖 – Practice notebooks meant for running and learning without test cases.

The goal of this repository is to reinforce core ML concepts, covering Supervised & Unsupervised Learning, Advanced Learning Algorithms and more.

📁 Repository Structure

The repository is organized as follows:

📂 Week-1/
   ├── 📁 Graded/
   ├── 📁 Ungraded/
📂 Week-2/
   ├── 📁 Graded/
   ├── 📁 Ungraded/
📂 Week-3/
   ├── 📁 Graded/
   ├── 📁 Ungraded/
📂 Week-4/
   ├── 📁 Graded/
   ├── 📁 Ungraded/

💻 Installation

Clone the repository:

git clone https://github.com/Samarth4023/Machine-Learning.git
cd Machine-Learning

🚀 Usage

You can explore the notebooks in each week's folder.

For Jupyter Notebooks:

jupyter lab

or

jupyter notebook

Navigate to the Graded or Ungraded folder as needed.

🤝 Contributing

Contributions are welcome! Feel free to fork the repository, improve code efficiency, or add new ML topics.

📬 Contact

For any queries or suggestions, feel free to reach out:

• ✉️ Email: samarthpujari249@gmail.com
• 🐙 GitHub: Samarth4023

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Happy Learning! 🚀📊