Data Science/ Machine Learning

ERFNet Segmentation Model

A tensorflow implementation of the ERFNet architecture trained on the Camvid Dataset

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Kitti Road Segmentation

Semantic Segmentation on the Kitti road dataset

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Real-Time Multi-Digit Recognition

A Convolutional Neural Network that simultaneously recognizes and localizes the digits from images or videos containing multi-digit numbers.

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Hackerearth Deep Learning Challenge #1

A deep learning model that classifies grocery items from images in order to improve the inventory management process of a large German supermarket.

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Creating Customer Segments from Spending Habits

Using unsupervised learning techniques to identify what types of clients a business has (based on spending habits) in order to help them make informed business decisions.

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Charkenstein

A Recurrent Neural Network that generates original text at the character level.

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Smartcab Agent in a Grid World

Using reinforcement learning to make a taxi cab agent (in a grid world) learn the best way to ferry its passengers to their destination.

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Qualitative Activity Recognition for Bicep Curls

Recognize if someone is performing bicep curls correctly using accelerometers and gyroscopes.

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Student Intervention

Using classification machine learning algorithms to create a model that would be useful in identifying students that may need early intervention before they fail to graduate.

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Boston House Prices

This project uses machine learning concepts on data for the housing prices in the Boston, Massachusetts area to predict the selling price of a new home.

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US Health Data App

An Rshiny web application that allows you to explore measurements of health in the American population since the year 2000.

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