https://github.com/anonymousknight07/machine-learning

All the codes for the my Machine Learning course by Coding Ninjas
https://github.com/anonymousknight07/machine-learning

Last synced: about 10 hours ago
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All the codes for the my Machine Learning course by Coding Ninjas

• Host: GitHub
• URL: https://github.com/anonymousknight07/machine-learning
• Owner: anonymousknight07
• License: mit
• Created: 2024-01-08T09:41:00.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-01-14T21:01:43.000Z (10 months ago)
• Last Synced: 2024-01-16T01:30:42.357Z (10 months ago)
• Language: Jupyter Notebook
• Size: 50.8 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Machine Learning Playground

Welcome to the Machine Learning Playground! 🚀 This repository is my personal space to experiment and learn the ins and outs of machine learning. Here, you'll find a collection of code, notebooks, and projects as I journey through the fascinating world of ML.

## Table of Contents

1. [ Introduction ](https://github.com/anonymousknight07/Machine-Learning/blob/main/Introduction_to_Machine_learning.md)

2. [ Linear Regression ](https://github.com/anonymousknight07/Machine-Learning/tree/main/Linear%20Regression)

## What's Inside

- **Notebooks**: Jupyter notebooks containing hands-on exercises, tutorials, and experiments with machine learning algorithms.

    

- **Projects**: Real-world projects applying machine learning to solve specific problems or tasks. Each project comes with documentation and explanations of the methodologies used.(Coming Soon)

    

- **Code Snippets**: Useful code snippets, utilities, and helper functions that I find handy during my machine learning journey.

    

## Getting Started

To dive into the world of machine learning with this repository:

1. **Clone the Repository**:

``` bash 

git clone https://github.com/your-username/machine-learning-playground.git

    

cd machine-learning-playground

```

2. **Explore the Folders**:

    

    - **Notebooks**: Start with the notebooks to understand the concepts and implementations.

        

    - **Projects**: Check out the projects for hands-on applications and real-world problem-solving.

        

2. **Requirements**:

    

    Ensure you have the required dependencies installed. You can install them using:

```bash 

 pip install -r requirements.txt

```

## License

This repository is licensed under the MIT License. See the [LICENSE](https://github.com/anonymousknight07/Machine-Learning/blob/main/LICENSE) file for details.

Happy Learning and Coding! 🤖✨