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Nory Diankov's Projects

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

boston-housing icon boston-housing

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

computer-aided-diagnosis-in-chest-xrays icon computer-aided-diagnosis-in-chest-xrays

Built a neural network to 1) distinguish between normal and abnormal x-ray images of lung segments and 2) perform “diagnosis”, which in the case of radiological evidence usually entails implicating several possible pulmonary conditions of roughly equal probability.

customer-segment-project icon customer-segment-project

Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.

finding-donors-project icon finding-donors-project

Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.

smartcab-project icon smartcab-project

Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modeling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.

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