FIT-DNU/Machine-Learning
Machine Learning
This collection of projects demonstrates various machine learning techniques for classification tasks. It provides examples of how to build models that can take in data like flower measurements, SMS messages, or mushroom features, and output predictions such as flower species, spam/ham labels, or edibility. These examples are suitable for students or practitioners learning fundamental machine learning concepts.
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Use this if you are a student or beginner in machine learning looking for practical code examples to understand different classification algorithms and their applications to real-world datasets.
Not ideal if you are looking for a ready-to-use, production-grade application or advanced machine learning research code.
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63
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3
Language
Python
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Last pushed
Oct 06, 2025
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