AsadiAhmad/Perceptron-From-Scratch
Implementing linear Perseptron model from scratch with exporting model and Early Stopping when model converges.
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.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Nov 14, 2024
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