AsadiAhmad/Perceptron-From-Scratch

Implementing linear Perseptron model from scratch with exporting model and Early Stopping when model converges.

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Experimental

This project helps machine learning practitioners understand and implement a fundamental linear perceptron model from scratch. You input your dataset, and it produces a trained model that can classify new data. This is ideal for students, researchers, or data scientists looking to grasp the core mechanics of simple neural networks.

No commits in the last 6 months.

Use this if you want to learn the foundational principles of how a perceptron learns to classify data, without relying on high-level machine learning libraries.

Not ideal if you need a robust, production-ready machine learning model for complex, real-world classification tasks.

machine-learning-education binary-classification algorithm-understanding neural-network-basics data-science-learning
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 0 / 25

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Language

Jupyter Notebook

License

MIT

Last pushed

Nov 14, 2024

Commits (30d)

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