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Seth Rosen

Colgate University


student-facilitator

HPC Experience

I have experience using python libraries such as pandas, numpy, keras, scikit-learn, and tensor-flow to create both shallow and deep machine learning models through a number of projects for courses at Colgate University. For my final project in my ML course I worked with three other students in an attempt to create a model that would predict individual stocks monthly excess returns given past data. The other projects from my ML course included genetic algorithms, image classification, and predictive models many of which using publicly available healthcare data.

Skills

bash
big-data
c
compiling
data-analysis
debugging
deep-learning
encryption
git
github
image-processing
java
jupyterhub
key-management
machine-learning
natural-language-processing
neural-networks
pip
programming
programming-best-practices
python
pytorch
r
scikit-learn
sql
stata
tensorflow
vm

Funded in part by the National Science Foundation

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