andre1araujo/Supervised-and-Unsupervised-Learning-Examples
Here you will find a Notebook with examples of various Machine Learning algorithms (ML), more specifically, Supervised and Unsupervised Learning examples. All of the code is followed by explanations and everything is easy to use and to understand thanks to the documentation.
This project offers practical examples for beginners interested in applying machine learning. It guides you through using your own datasets to build automatic classification models (like identifying categories) and to discover patterns or group similar items together. Aspiring data analysts, students, or business professionals looking to understand how ML can solve real-world problems would find this useful.
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Use this if you are a beginner looking for hands-on, explained examples of how to apply common machine learning techniques like classification and clustering to your data.
Not ideal if you are an experienced machine learning practitioner seeking advanced models, cutting-edge research implementations, or a deployable solution.
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10
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Language
Jupyter Notebook
License
Apache-2.0
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Last pushed
Jan 18, 2024
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