Live TV Events Notebooks

These guides consist of the following three notebooks:

• Part 1: Data Engineering: shows you how you could call the Live TV Events Broadcast API to extract data to a DataFrame.

• Part 2: Data Exploration provides a guide to exploring PredictHQ's Live TV Events data for Data Science teams.

• Part 3: Feature Engineering provides examples of how to aggregate and extract features from the data.

Walk through the TV Events Jupyter Notebook with Data Scientist Andrew Walker - Part 1

Walk through the TV Events Jupyter Notebook with Data Scientist Andrew Walker - Part 2