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