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Breast cancer prediction ANN model developed with Python.

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breast-cancer-prediction

Neural network construction with a real-world dataset

  1. Choose a real-world dataset that is available online. You can obtain your dataset from Kaggle, UCI Machine Learning Repository, or other sources that you can find.
  2. Understand the dataset.
  3. Identify the purpose of applying a neural network on the dataset.
  4. Discuss the neural network architecture to be constructed.
  5. Construct, train, and test the neural network on the dataset.
  6. Discuss the results.

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  • Python 100.0%