Chris Lee- Self Assessment

Technical Area:

  • Learned about support vector machines (SVM), Gaussian process, and multi-class/multi-label text classification

Tools:

  • GitHub
  • Python
  • Jupyter
  • Sci-kit
  • Pandas
  • Miro

Soft Skills:

  • Communication
  • Collaboration on a single project
  • Independent problem solving

Achievement Highlights:

  • Researched an appropriate algorithm using SVM
  • Finding solutions to features needed in the final algorithm

Meetings Attended:

  • All required meetings
  • Project party on 8/6

Goals for Upcoming Week:

  • Determine if there exists a way to calculate individual prediction scores for each label in a multi-label classification method

Tasks Done:

  • Researched various multi-class text classification algorithms and weighed pros and cons
  • Chose an appropriate linear SVM algorithm
  • Fit linear SVM into a OneVsRest classifier for multi-label classification