Data Science tools to use immediately

Demand intelligence is a new and evolving field. We’ve created Data Science documentation to help you get started with PredictHQ’s intelligent event data. You’ll find guides to using our API with common Data Science tools, libraries in Python, and code samples.
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Not all events impact businesses the same way

We track 19 different event categories, each important in their own way

To start to get a handle on the data, we recommend starting with our attended event categories. This includes the following 7 event categories: sports, concerts, festivals, conferences, expos, performing arts and community events such as farmers markets and fun runs. These types of events have predicted attendance to work with and there is often a very clear correlation to impact.
View attended events notebook
Data science guides

Explore Our Jupyter Notebooks

Jupyter notebooks you can run to quickly get up to speed with our events data

Demand Forecasting Notebook

Step-by-step guide on how to use intelligent event data in demand forecasting models.
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Attended Events Notebook

We track 7 attended-based event categories, including sports, concerts, festivals, and conferences. This notebook provid...
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Non-attended Events Notebook

We track 6 non-attended-based event categories, including public holidays, school holidays and observances. This noteboo...
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Live TV Events Notebook

Better predict surges in demand caused by televised events such as sports. Check out our unique TV viewership data and l...
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Academic Events Notebook

PredictHQ tracks the key dates of every US college with more than 5,000 students. Think graduations, exam time and sprin...
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Features API Notebook

Access forecast-ready prebuilt intelligence and features to enable your teams to extract value from intelligent event da...
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Feature Engineering Guide Notebook

A how-to guide on creating events-based machine learning features for demand forecasting models using the SDK for the Pr...
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Demo Videos

Watch Our Step-By-Step Videos

We’ve created quick videos for those of you who would prefer walking through the documentation with a PredictHQ specialist.

NEW: Features API Product Demo

Features API provides access to forecast-ready, prebuilt intelligence and features. Armand Naudé, PredictHQ Senior Software Engineer, will walk you through how to use the API endpoint. (3:09 min)

Live TV Events Part I: Data Engineering

Andrew Walker, Data Scientist at PredictHQ, will walk you through how to call the Live TV Events Broadcast API to extract data to a DataFrame. (14:36 min)

Live TV Events Part II: Data Exploration

This is part two of a three part series, where Andrew Walker, Data Scientist at PredictHQ, will guide you to explore PredictHQ's Live TV Events data. (18:23 min)

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