Machine Learning - Level 1 Module 3 Claire Ran

Technical Areas:

  • learned load data to csv and json, visualize the data
  • watched YouTube video to learn Linear Regression, Logistic Regression,Classification and Regression Trees.
  • generated my path to reach the goal- a basic content-based recommender system.
    1. subjectivity classification
    2. polarity classification
    3. specific corpus detection


  • Jupiter notebook
  • VS code
  • Numpy/Pandas

Soft Skills:

attending the workshop with my teammate on google meet

Achievement Highlights:

  • explore the data and did text pre-processing
  • Calculate a distance metric
  • train the classification model on data and get accuracy
  • testing ensemble methods to see if they improve my accuracy.