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Building-an-E-Commerce-Clothing-Classifier-Model
Building-an-E-Commerce-Clothing-Classifier-Model PublicA PyTorch-based deep learning project for multi-class image classification. Includes model definition, training, evaluation, and metrics computation (accuracy, precision, recall) on datasets like …
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Classifying-X-Ray-Images-using-PyTorch
Classifying-X-Ray-Images-using-PyTorch PublicTransfer learning pipeline for chest X-ray binary classification using PyTorch and ResNet-18. Includes data preprocessing, efficient model fine-tuning, evaluation with accuracy/F1, and utilities fo…
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Detecting-Cybersecurity-Threats-using-Deep-Learning
Detecting-Cybersecurity-Threats-using-Deep-Learning PublicTrain a PyTorch neural network to detect cyber attacks using the BETH dataset. This project builds a binary classification model to identify suspicious events in network traffic logs, helping orga…
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Developing-Multi-Input-Models-For-OCR
Developing-Multi-Input-Models-For-OCR PublicDeep learning OCR project for DigiNsure Inc. Uses a CNN-based multi-modal model to classify scanned insurance ID images as primary or secondary, leveraging both image data and insurance type for im…
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Machine-Learning-Labs-From-Regression-to-Neural-Networks
Machine-Learning-Labs-From-Regression-to-Neural-Networks PublicA complete series of machine learning labs covering regression, SVMs, decision trees, Naïve Bayes, regularization, and a dedicated neural networks module. Includes hands-on implementation of backpr…
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