Academic Events Notebooks
These guides consist of the following three Jupyter notebooks:
- Part 1: Data Engineering shows you how to call the Events API to extract the Academic Events data to a DataFrame.
- Part 2: Data Exploration is a guide to exploring PredictHQ's Academic Events data for Data Science teams.
- Part 3: Feature Engineering provides examples of how to aggregate and extract features from the data.
Last modified 2mo ago