Project information

  • Project date: Fall 2020
  • Techniques Used: Linear SVM, Naive Bayes, Logistic Regression, Decision Tree, Random Forest
  • Write Up:

Non-Neural Classifiers Project

Final Project for CMSC 678 (Introduction to Machine Learning - Graduate) at UMBC. That's right, I took Intro to Machine Learning again, this time as a Graduate course! I learned much more of the underlying mathematics, so while the project was conceptually simpler (Various Classifiers on TF-IDF n-grams), the analysis of the results was much more rigorous. Furthermore, significant emphasis was placed on ethical test practice, to ensure that the results were accurate.