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binary-crossentropy

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This project involves building an Artificial Neural Network (ANN) for predicting customer churn. The dataset used contains various customer attributes, and the ANN is trained to predict whether a customer is likely to leave the bank.

  • Updated Feb 20, 2024
  • Jupyter Notebook

Utilized CNN models to classify images of mountains and forests, treating mountains as the positive class and forests as the negative class. We compare the performance of a pre-trained model, a custom CNN model, and a CNN model with data augmentation.

  • Updated Mar 28, 2023
  • Jupyter Notebook

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