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deep-learning-bootcamp

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, SkinCancer, IMDB movie reviews.

hands-on-ml

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

ipl-analysis

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 out for in a potential player. We then built a model that suggests players to buy and retain in an auction.

melbourne-housing

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 invest their money in property.

ngam-text-generation

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 and sequences of phonemes are modeled using a n-gram distribution.

shayan-app