AsadiAhmad/Perceptron-From-Scratch
Implementing linear Perseptron model from scratch with exporting model and Early Stopping when model converges.
Implements the perceptron algorithm using NumPy with weight update rules and bias terms, leveraging pandas for data preprocessing and matplotlib/seaborn for training visualization. The notebook-based approach enables interactive execution in Jupyter and Google Colab environments, making it suitable for educational demonstrations of fundamental supervised learning concepts.
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Jupyter Notebook
License
MIT
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Last pushed
Nov 14, 2024
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