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1. Sales-Forecasting-of-Book-Retailers-using-an-LSTM-Model Sales-Forecasting-of-Book-Retailers-using-an-LSTM-Model Public

   Data on sales from book retailers from the past 18 years was used to create an LSTM model to forecast book retailer sales into the end of 2020.

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2. Cell-Classification-using-a-Convolutional-Neural-Network Cell-Classification-using-a-Convolutional-Neural-Network Public

   A model using a convolutional neural network was created to predict whether or not a cell is infected with malaria. Images of malaria-infected cells and healthy uninfected cells were used to train …

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3. Client-Loan-Classification-using-a-Feed-Forward-Neural-Network Client-Loan-Classification-using-a-Feed-Forward-Neural-Network Public

   Given historical data on loans given out with information on whether or not the borrower defaulted (charge-off), a model was built using an artificial neural network to predict whether or not a bor…

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4. Movie-Classification-of-Rotten-Tomatoes-Reviews Movie-Classification-of-Rotten-Tomatoes-Reviews Public

   Movie reviews from Rotten Tomatoes were used to build a model to predict whether or not a review would be "fresh" or "rotten" based solely on the text of the review.

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5. Cardiovascular-Disease-Analysis Cardiovascular-Disease-Analysis Public

   Various medical information of patients was used to predict if a patient has cardiovascular disease. Several machine learning classification algorithms (random forest, SVM, k-nearest neighbors, naï…

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6. Ecommerce-Customer-Data Ecommerce-Customer-Data Public

   Customer online activity of an ecommerce company was analyzed to give direction into which area of online presence to focus on: company website or mobile app. Customer time spent on company website…

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