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1. ipl-analysis ipl-analysis Public

   We analyzed the IPL (cricket) dataset as a part of the HackDFW challenge and got 3rd place. Gained some interesting insights on how the top players perform and what are the key attributes to look o…

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2. hands-on-ML hands-on-ML Public

   Making predictions using different Machine Learning Models in scikit-learn.

   Python 1

3. deep-learning-bootcamp deep-learning-bootcamp Public

   A week long Deep Learning Workshop at UTD with Tarry Singh. We went through some basic concepts and then dived deep into some Hands-On work. Some of the datasets we worked with are: Fashion MNIST, …

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4. melbourne-housing melbourne-housing Public

   Analyzed the Melbourne Housing dataset as a part of our HackUTD challenge. Gained some interesting insights from the dataset which can help provide buyers with some useful information before they i…

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5. ngam-text-generation ngam-text-generation Public

   Generating text using N-gram models that were trained on shakespeare.txt and warpeace.txt. n-gram models are widely used in statistical natural language processing. In speech recognition, phonemes …

   Python 4