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base repository: TheAlgorithms/Python
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head repository: HarshVR1947/Python
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  • 2 commits
  • 1 file changed
  • 1 contributor

Commits on Oct 14, 2023

  1. Create Artificial_NeuralNet.py 

    1. The code loads the "Pima Indians Diabetes" dataset.
2. It preprocesses the data, which includes cleaning and formatting.
3. The dataset is split into training and testing sets to evaluate model performance.
4. Feature standardization is performed to ensure that all features have a mean of 0 and standard deviation of 1.
5. An artificial neural network (ANN) is created for binary classification.
6. The ANN is compiled with specified settings such as the optimizer and loss function.
7. The model is trained on the training data using backpropagation, iteratively updating its weights.
8. Finally, the code evaluates the model's accuracy on the test data and prints the result.
9. The code serves as an end-to-end example of building and training a neural network for predicting diabetes based on patient features.
    @HarshVR1947
    HarshVR1947 authored Oct 14, 2023
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  2. Merge pull request #1 from HarshVR1947/HarshVR1947-patch-1 

    Create Artificial_NeuralNet.py
    @HarshVR1947
    HarshVR1947 authored Oct 14, 2023
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