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  1. Developed a novel algorithm to predict air pollution levels with state-of-art accuracy using deep learning and GoogleMaps satellite images

    Python 4 2

  2. Utilized machine learning and differential equations to develop computational models of the spread of various drugs in American populations and their health effects & wrote 25-page research paper

    Python

  3. Created from scratch an efficient web scraper to mine WebMD for data on all the drugs listed on the website as well as the customer reviews for those drugs

    Python

  4. Generated new TV scripts for The Simpsons using NLP techniques, including Google's Word2vec algorithm with a continuous skip-gram architecture and RNNs with LSTMs

    Python

  5. Developed model to translate between English and French using NLP techniques, including seq2seq architecture and RNNs with LSTMs

    Python

  6. Used transfer learning by training a classifier on top of VGG16, a popular, former state-of-the-art convolutional neural network that was trained on the ImageNet data set

    Python

106 contributions in the last year

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Contribution activity

July 2019

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