Predicting liver cirrhosis outcomes using machine learning models based on clinical data.
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Updated
Sep 12, 2024 - Jupyter Notebook
Predicting liver cirrhosis outcomes using machine learning models based on clinical data.
deep learning model to classify x-ray
Building a Convolutional Neural Network on a smaller sample of chest X-ray dataset
Imbalanced classification with scikit-learn and PyTorch Lightning.
Adaptive Mix-Up for Highly Imbalanced Medical Image Classification
I built Sentiment Analysis models leveraging a deep learning approach utilizing the customer reviews of Amazon products. Since Long Short Term Memory Network (LSTM) is very effective in dealing with long sequence data and learning long-term dependencies, I used it for automatic sentiment classification of future product reviews.
A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE
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