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1. Computer-Vision-Traditional-vs.-Deep-Learning-Approaches Computer-Vision-Traditional-vs.-Deep-Learning-Approaches Public

   This project compares traditional Bag-of-Words with SVM and a custom ResNet-style CNN for image classification on the CIFAR-10 dataset. It covers the full workflow: feature extraction, model buildi…

   Jupyter Notebook 1

2. HNM-Based-Biomedical-Relation-Extraction HNM-Based-Biomedical-Relation-Extraction Public

   Implements relation extraction for biomedical texts using Hard Negative Mining to improve accuracy in identifying complex entity relationships. Includes code for data processing, training, and eval…

   Jupyter Notebook 1

3. Amazon-Food-Review-Sentiment-Analysis Amazon-Food-Review-Sentiment-Analysis Public

   A machine learning project for classifying Amazon Fine Food Reviews as positive or negative using text preprocessing, feature extraction, and multiple classification algorithms. Includes EDA, model…

   Jupyter Notebook 1

4. Emotion-Detection-Using-Deep-Learning Emotion-Detection-Using-Deep-Learning Public

   This project uses a neural network to classify facial expressions in 48x48 grayscale images from the FER Challenge dataset. The workflow includes data preprocessing, model building, training, and e…

   Jupyter Notebook 1

5. Digit-Classification-with-Convolutional-Neural-Networks Digit-Classification-with-Convolutional-Neural-Networks Public

   This project implements a Convolutional Neural Network (CNN) to classify handwritten digits using the MNIST dataset. The model is trained to recognize digits (0-9) from 28x28 pixel grayscale images…

   Jupyter Notebook 1