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perceptron-learning-algorithm

- - - TODO - - -

  • LOAD AND VISUALIZE THE RAW DATA

    • Load the dataset
    • Visualize the data
  • DATA PREPROCESSING

    • Split data into training and testing sets
  • MODEL ARCHITECTURE

    • Define network parameters
    • Define network structure
    • Execute the model
    • Visualize model improvements
    • Visualize confusion matrix
    • Add epoch configuration
  • OTHERS [OPTIONAL]

    • Update README file
    • Plot the resulting regression model

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  • Jupyter Notebook 100.0%