Machine Learning

This page reflects my journey through a rigorous computer science course, showcasing my proficiency in applying machine learning to solve diverse problems. As I move forward in my career, I am excited about the prospect of further exploring the frontiers of machine learning and contributing to the advancement of this dynamic and transformative field. Shown below are screen shots from my binary classification project using logistic regression.

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Drexel - CS483

Software

What I did

  • Researched and implemented multiple machine learning models
  • Utilized Python without ML libraries for model development, all work was done through modeling
  • Conducted extensive data preprocessing and feature engineering
  • Evaluated model performance and optimized parameters
  • Developed visualizations to communicate results

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