snrazavi/Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
This project provides an educational toolkit to help individuals understand and apply fundamental machine learning concepts. It offers code examples, slides, and video lectures on various topics from regression to neural networks. Students or self-learners can use this to grasp how different algorithms process data to make predictions or find patterns.
219 stars.
Use this if you are a student or an aspiring data practitioner looking for comprehensive materials to learn core machine learning algorithms and their practical implementation.
Not ideal if you are a seasoned machine learning engineer seeking advanced techniques, cutting-edge research, or a production-ready library.
Stars
219
Forks
106
Language
Jupyter Notebook
License
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Category
Last pushed
Jan 26, 2026
Commits (30d)
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