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-Hi, Iā€™m Colin O'Brien

  • Iā€™m interested in how data can be used to help experts in various fields find unexpected relationships and patterns. I love learning about new machine learning techniques and solutions to big data problems.

  • I am enrolled in UVA's Masters of Science in Data Science, which includes studying a variety of topics including data mining, linear models for data science, statistical learning, Bayesian machine learning, deep learning, natural language processing, big data management, and ethics of big data.

  • You can reach me via the following:

    UVA email: [email protected]

    LinkedIn: colinobrien11

Colin O'Brien's Projects

capstone_pulse_anomaly_detection icon capstone_pulse_anomaly_detection

Capstone project I completed while studying for my Master of Data Science at the University of Virginia. Goal of project is anomaly detection of signal data produced by electrical components of a particle accelerator.

introduction-to-r-programming-uc-san_deigo icon introduction-to-r-programming-uc-san_deigo

Collection of the practice problems completed as part of the UC San Diego Intro to R Programming. Posted with consent of course professor. DOES NOT INCLUDED 2 ASSIGNMENTS CONSIDERED AS TESTS FROM THE COURSE.

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-for-everybody-courses-1-through-4 icon python-for-everybody-courses-1-through-4

This is a collection of different assigments completed as part of the Programming for Everybody (Getting Started with Python) Coursera course: https://www.coursera.org/learn/python?

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

spark icon spark

Apache Spark - A unified analytics engine for large-scale data processing

stats_6021_pro_j1 icon stats_6021_pro_j1

stat project using regression + general visualizations to study diamond prices

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