Developed a feed-forward neural network in PyTorch to classify breast cancer as malignant or benign. Applied data scaling, trained a two-layer model, and achieved high test accuracy. Demonstrates skills in deep learning, binary classification, and medical ML analysis.
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Developed a feed-forward neural network in PyTorch to classify breast cancer as malignant or benign. Applied data scaling, trained a two-layer model, and achieved high test accuracy. Demonstrates skills in deep learning, binary classification, and medical ML analysis.
AdityaShinde716/Breast-Cancer-Predictor-using-Pytorch
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Developed a feed-forward neural network in PyTorch to classify breast cancer as malignant or benign. Applied data scaling, trained a two-layer model, and achieved high test accuracy. Demonstrates skills in deep learning, binary classification, and medical ML analysis.
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