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train-validation-test

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hurkanugur / Car-Price-Predictor

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This project predicts used car prices using a feedforward neural network regression model implemented in PyTorch. Features include car age, mileage, and other attributes. The pipeline supports feature normalization, train/validation/test splitting, and visualization of training and validation loss curves.

python deep-learning scikit-learn pandas pytorch batch-normalization regression-models data-normalization gradio model-evaluation he-initializer adam-optimizer model-training price-prediction relu-layer car-price-prediction train-validation-test mean-squared-error gradio-interface gradio-app
  • Updated Oct 13, 2025
  • Python

hurkanugur / ResNet-Tire-Classifier

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Tire condition classification using ResNet and transfer learning. This project applies deep learning to identify whether a tire is in good or bad condition based on image data.

classifier deep-neural-networks dropout batch-normalization classification resnet transfer-learning gradio model-evaluation softmax resnet-50 adam-optimizer model-training softmax-classifier relu weights-and-biases train-validation-test gradio-interface model-training-and-evaluation gradio-app
  • Updated Oct 12, 2025
  • Python

hurkanugur / Loan-Approval-Classifier

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This project predicts loan approval outcomes (Approved/Rejected) using a PyTorch neural network. It includes data preprocessing, train/validation/test split, model training with BCEWithLogitsLoss, and inference with probability-based classification.

python deep-neural-networks deep-learning neural-network pytorch classification gradio adam-optimizer sigmoid-function relu-layer matplotlib-python data-split data-splitting train-validation-test gradio-interface loan-prediction-model binary-cross-entropy binary-cross-entropy-loss gradio-ui gradio-app
  • Updated Oct 13, 2025
  • Python

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