This project analyses the spread of COVID-19 in USA and predicts the fatality of the COVID patients. It aims to facilitate the healthcare establishments in prioritizing patients for specialized medical attention, at an early stage.
This project focuses on documents and query matching using vector space models, language models and machine learning models. It stores the document on elastic search and retrieves only the topmost ranking documents based on user query.
This project trains a few thousand names from 18 languages of origin and predicts which language a name is based on the spelling. It uses a character-level LSTM model to predict the next character.
This project explores image classification using PyTorch on the CIFAR10 dataset. The model has been trained using Convolutional Neural Network.
Terraform scripts to automate AWS infrastructure. Running the scripts will bring up AWS services with the given configuration.
