MahanVeisi8/MLPractices
A collection of machine learning practices covering decision trees, KNN, stroke prediction, neural networks, DBSCAN clustering, and more
This is a collection of hands-on examples for machine learning tasks. It demonstrates how to use different algorithms to predict outcomes, classify data, or group similar items. For instance, you can see how to predict stroke risk or insurance costs based on various inputs. This is useful for anyone learning or teaching machine learning concepts.
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Use this if you are a student, educator, or a beginner in machine learning looking for practical, working code examples to understand core algorithms.
Not ideal if you are looking for a plug-and-play solution for a specific business problem or a library to integrate into a production system.
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Jupyter Notebook
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Last pushed
Sep 04, 2024
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