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1. Dog-Breeds-Classifier Dog-Breeds-Classifier Public

   The goal in this project was to build a Convolutional Neural Network (CNN) for identifying dog breeds. To accomplish this, I applied data augmentation techniques (random scaling, cropping, and flip…

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2. Finding-Donors-for-CharityML Finding-Donors-for-CharityML Public

   The goal in this project was to build a model that accurately predicts whether an individual makes more than $50.000, to identify likely donors for a fictional non-profit organization. To accomplis…

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3. Human-Face-Generation Human-Face-Generation Public

   The goal in this project was to perform a Deep Generative Adversarial Network (DCGAN) to generate new images of faces that look as realistic as possible. To accomplish this, I implemented DCGAN mod…

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4. Identify-Customer-Segments-with-Arvato Identify-Customer-Segments-with-Arvato Public

   The goal in this project was to build a model to identify segments of the population that form the core customer base for a mail-order sales company in Germany. To accomplish this, I used data prep…

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5. TV-Script-Generation TV-Script-Generation Public

   The goal in this project was to perform sentiment analysis using a Recurrent Neural Network (RNN) to generate a TV script that resembles a training set. To accomplish this, I applied data pre-proce…

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6. Plagiarism-Detector Plagiarism-Detector Public

   The goal in this project was to build a plagiarism detector to classify text files as either plagiarized or not depending on how similar it is to a provided source text. To accomplish this, I defin…

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