https://github.com/patchy631/machine-learning
https://github.com/patchy631/machine-learning
Last synced: about 1 year ago
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- Host: GitHub
- URL: https://github.com/patchy631/machine-learning
- Owner: patchy631
- License: mit
- Created: 2022-06-01T11:30:58.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2024-11-10T15:08:00.000Z (over 1 year ago)
- Last Synced: 2025-04-09T09:00:51.821Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 40.9 MB
- Stars: 1,416
- Watchers: 39
- Forks: 271
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# 🤖 Machine Learning Tutorials Repository 🤖
Welcome to the **Machine Learning Tutorials Repository**! This is the go-to spot for all the code associated with my Twitter tutorials. If you're passionate about diving deep into the realms of Machine Learning and exploring various topics, you're in the right place!
## Star history 🌟
[](https://star-history.com/#patchy631/machine-learning&Date)
## 📘 Topics Covered
1. 🐍 **Python**: The core language for almost all things Machine Learning.
2. 🖼️ **Computer Vision**: Techniques, algorithms, and methods to give machines the ability to see and interpret visual data.
3. 📜 **NLP (Natural Language Processing)**: Delve into the world of words and understand how machines can comprehend, interpret, and respond to human languages.
4. 📊 **Matplotlib**: Visualize your data and results with one of the most popular plotting libraries.
5. 🔢 **NumPy**: Master the art of numerical computing with Python.
6. 🐼 **Pandas**: The ultimate tool for data analysis in Python.
7. 🚀 **MLOps**: Learn about the best practices, tools, and services to manage end-to-end ML lifecycle.
8. 🧠 **LLMs (Large Language Models)**: Dive deep into state-of-the-art models that understand and generate human-like text.
9. 🔥 **PyTorch/TensorFlow**: Get to grips with the two dominant deep learning frameworks.
## 🚀 Getting Started
1. **Clone the Repository**:
```bash
git clone https://github.com/patchy631/machine-learning
```
2. **Navigate to the Repository**:
```bash
cd machine-learning
```
3. **Install Required Libraries**:
```bash
pip install -r requirements.txt
```
> Note: Make sure you have Python installed on your system. If not, download and install [Python](https://www.python.org/downloads/).
## 🤝 Contribution Guidelines
Contributions are always welcome! Whether it's fixing bugs, improving documentation, or adding new tutorials, your efforts will be appreciated. Please ensure you follow the contribution guidelines outlined in `CONTRIBUTING.md`.
## 📱 Connect with Me
Follow me on Twitter for more tutorials and updates: [@akshay_pachaar](https://twitter.com/akshay_pachaar)
## 📜 License
This project is licensed under the MIT License. See the [LICENSE.md](LICENSE.md) file for details.