About the Data Science and Machine Learning category

Questions and discussion on the Data Science Workshop series, as well as other topics, research, and courses in Machine Learning and Data Science.

  • the data science process, feature engineering, EDA, feature selection
  • data scraping, APIs, SQL, etc
  • Visualization, communication of model results and data
  • machine learning models
  • explaining the results of models
  • improving models
  • metrics to assess model performance, etc