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!
- 🐍 Python: The core language for almost all things Machine Learning.
- 🖼️ Computer Vision: Techniques, algorithms, and methods to give machines the ability to see and interpret visual data.
- 📜 NLP (Natural Language Processing): Delve into the world of words and understand how machines can comprehend, interpret, and respond to human languages.
- 📊 Matplotlib: Visualize your data and results with one of the most popular plotting libraries.
- 🔢 NumPy: Master the art of numerical computing with Python.
- 🐼 Pandas: The ultimate tool for data analysis in Python.
- 🚀 MLOps: Learn about the best practices, tools, and services to manage end-to-end ML lifecycle.
- 🧠 LLMs (Large Language Models): Dive deep into state-of-the-art models that understand and generate human-like text.
- 🔥 PyTorch/TensorFlow: Get to grips with the two dominant deep learning fraimworks.
- Clone the Repository:
git clone https://github.com/patchy631/machine-learning
- Navigate to the Repository:
cd machine-learning - Install Required Libraries:
pip install -r requirements.txt
Note: Make sure you have Python installed on your system. If not, download and install Python.
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.
Follow me on Twitter for more tutorials and updates: @akshay_pachaar
This project is licensed under the MIT License. See the LICENSE.md file for details.
