6. ML MODELS

Machine Learning (ML) models are algorithms that learn patterns from data to make predictions or decisions without being explicitly programmed. They are broadly categorized into supervised, unsupervised, and reinforcement learning models. Examples include decision trees, neural networks, and support vector machines. These models power many real-world applications like recommendation systems, image recognition, and language translation.
📂 Resources:
🔗 Colab Notebook:
https://colab.research.google.com/drive/1RqTKbWa1NpaEHkCXHEWXXYsHPW3Lfz8q

Open Notebook

📄 Document/Notes (PDF):
https://docs.google.com/presentation/d/15KdBJZkhEEhtJ5R7t3GMKinYKnS9s65J/edit?usp=sharing&ouid=105463709838736535859&rtpof=true&sd=true

View/Download Notes

📺 Playlist:
Catch the full playlist here → https://www.youtube.com/playlist?list=PLfLqropWTg_xQKFSfu20ou91l4EsyqHVb
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Видео 6. ML MODELS канала Kiet-Hub