patchy631/machine-learning
A collection of Jupyter Notebook tutorials covering machine learning, deep learning frameworks, NLP, computer vision, and LLMs.
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This repository contains code notebooks for Twitter tutorial threads covering various ML topics including Python, NumPy, Pandas, Matplotlib, computer vision, NLP, MLOps practices, large language models, and deep learning frameworks like PyTorch and TensorFlow. It serves as an educational resource for learning ML concepts and techniques.
Frequently asked
- What is patchy631/machine-learning?
- A collection of Jupyter Notebook tutorials covering machine learning, deep learning frameworks, NLP, computer vision, and LLMs.
- Is machine-learning open source?
- Yes — patchy631/machine-learning is open source, released under the MIT license.
- What language is machine-learning written in?
- patchy631/machine-learning is primarily written in Jupyter Notebook.
- How popular is machine-learning?
- patchy631/machine-learning has 1.5k stars on GitHub.
- Where can I find machine-learning?
- patchy631/machine-learning is on GitHub at https://github.com/patchy631/machine-learning.