Introduction For my Eastern University capstone, I had a few project ideas. One of them involved analyzing IRS XML data to predict nonprofit failure. Although I didn’t end up going with that idea (because so many of the records contain data quality issues), I did end up writing a number of data cleaning functions to…
DTSC-670 Tips and Tricks
Introduction DTSC-670 is the Foundations of Machine Learning Course at Eastern University. It’s a good course, definitely stretches your knowledge of matplotlib, Python, and scikit-learn as you learn how to build machine learning models and evaluate them. The purpose of this article is to explore some of the concepts in the course and give you…
Quantic MBA 2022 Review
Introduction I recently completed the Quantic MBA. I graduate in about 2 weeks. I thought readers would be interested in my experience as someone who actually completed the program. I was one of the last cohorts to be admitted with a 100% scholarship before Quantic switched to a model where the standard tuition cost is…
DTSC-650 Data Analytics in R Tips
Introduction As a student in Eastern University’s Master of Science in Data Science, I recently completed a course in basic data analytics with R. I had never worked with R but this was probably my favorite course in the whole program. Tidyverse The tidyverse is a set of packages used for data science including dplyr…
Eastern University Master of Science in Data Science Half-way Review
Introduction As a student in the Eastern University MS in Data Science program, I’ve been taking courses in Python, R, statistics and databases for the last 9 months. I’m half way through the program now, and thought it would be helpful to potential students to provide more information on what each course in the program…